PPO.ipynb

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  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import random\n",
    "from collections import deque\n",
    "import numpy as np\n",
    "import gym\n",
    "import tensorflow as tf\n",
    "import tensorflow_probability as tfp\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Memory:\n",
    "    def __init__(self):\n",
    "        self.buffer = deque(maxlen=20000)\n",
    "    \n",
    "    def push(self, state, action, reward, next_state, done):\n",
    "        self.buffer.append((state, action, reward, next_state, done))\n",
    "\n",
    "    def get(self):\n",
    "        states, actions, rewards, next_states, dones = map(np.asarray, zip(*self.buffer))\n",
    "        states = tf.constant(states, dtype=tf.float32)\n",
    "        if len(actions.shape) == 1:\n",
    "            actions = actions.reshape((-1, 1))\n",
    "        actions = tf.constant(actions, dtype=tf.float32)\n",
    "        rewards = tf.expand_dims(tf.constant(rewards, dtype=tf.float32), axis=1)\n",
    "        next_states = tf.constant(next_states, dtype=tf.float32)\n",
    "        dones = tf.expand_dims(tf.constant(dones, dtype=tf.float32), axis=1)\n",
    "\n",
    "        return tf.data.Dataset.from_tensor_slices((states, actions, rewards, next_states, dones))\n",
    "\n",
    "    def forget(self):\n",
    "        self.buffer.clear()\n",
    "\n",
    "    def __len__(self):\n",
    "        return len(self.buffer)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Actor(tf.keras.Model):\n",
    "    def __init__(self, output_dim=1, hidden=32, activation=\"elu\", name=\"actor\", **kwargs):\n",
    "        super().__init__(self, name=name, **kwargs)\n",
    "        self.bn = tf.keras.layers.BatchNormalization(axis=-1)\n",
    "        self.dense1 = tf.keras.layers.Dense(hidden, \n",
    "                                            activation=activation,\n",
    "                                            use_bias=True,\n",
    "                                            kernel_initializer=\"lecun_normal\",\n",
    "                                            bias_initializer=\"lecun_uniform\"\n",
    "                                            )\n",
    "        self.dense2 = tf.keras.layers.Dense(hidden, \n",
    "                                            activation=activation,\n",
    "                                            use_bias=True,\n",
    "                                            kernel_initializer=\"lecun_normal\",\n",
    "                                            bias_initializer=\"lecun_uniform\"\n",
    "                                            )\n",
    "        self.out = tf.keras.layers.Dense(output_dim, activation=activation, use_bias=True)\n",
    "    \n",
    "    def call(self, inputs):\n",
    "        x = self.bn(inputs)\n",
    "        x = self.dense1(x)\n",
    "        x = self.dense2(x)\n",
    "        return self.out(x)\n",
    "\n",
    "class Critic(tf.keras.Model):\n",
    "    def __init__(self, output_dim=1, hidden=32, activation=\"selu\", name=\"critic\", **kwargs):\n",
    "        super().__init__(self, name=name, **kwargs)\n",
    "        self.bn = tf.keras.layers.BatchNormalization(axis=-1)\n",
    "        self.dense1 = tf.keras.layers.Dense(hidden, \n",
    "                                            activation=activation,\n",
    "                                            use_bias=True,\n",
    "                                            kernel_initializer=\"lecun_normal\",\n",
    "                                            bias_initializer=\"lecun_uniform\"\n",
    "                                            )\n",
    "        self.dense2 = tf.keras.layers.Dense(hidden, \n",
    "                                            activation=activation,\n",
    "                                            use_bias=True,\n",
    "                                            kernel_initializer=\"lecun_normal\",\n",
    "                                            bias_initializer=\"lecun_uniform\"\n",
    "                                            )\n",
    "        self.out = tf.keras.layers.Dense(output_dim, activation=activation, use_bias=True)\n",
    "    \n",
    "    def call(self, inputs):\n",
    "        x = self.bn(inputs)\n",
    "        x = self.dense1(x)\n",
    "        x = self.dense2(x)\n",
    "        return self.out(x) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "class PPO:\n",
    "    def __init__(self, \n",
    "                 env=None, \n",
    "                 hidden=32,\n",
    "                 policy_clip=0.2,\n",
    "                 entropy_coef=0.1,\n",
    "                 value_coef=0.5,\n",
    "                 std_init=0.2,\n",
    "                 gamma=0.99,\n",
    "                 lambda_=0.95,\n",
    "                 episodes=1000,\n",
    "                 batch_size=32, \n",
    "                 actor_lr=1e-4,\n",
    "                 critic_lr=2e-4,\n",
    "                 seed=None\n",
    "                 ):\n",
    "        self.env = env\n",
    "\n",
    "        self.actor = Actor(hidden=hidden, name=\"actor\")\n",
    "        self.critic = Critic(hidden=hidden, name=\"critic\")\n",
    "        self.actor_old = Actor(hidden=hidden, name=\"actor_old\")\n",
    "        self.critic_old = Critic(hidden=hidden, name=\"critic_old\")\n",
    "        self.critic_old.build(input_shape=(batch_size, 2))\n",
    "\n",
    "        self.policy_clip = policy_clip\n",
    "        self.entropy_coef = entropy_coef\n",
    "        self.value_coef = value_coef\n",
    "        self.scale_diag = tf.fill(1, std_init)\n",
    "        self.gamma = gamma\n",
    "        self.lambda_ = lambda_\n",
    "\n",
    "        self.episodes = episodes\n",
    "        self.batch_size = batch_size\n",
    "        self.actor_opt = tf.keras.optimizers.Adam(learning_rate=actor_lr)\n",
    "        self.critic_opt = tf.keras.optimizers.Adam(learning_rate=critic_lr)\n",
    "\n",
    "        self.memo = Memory()\n",
    "        self.istraining = True\n",
    "        if seed:\n",
    "            tf.keras.backend.clear_session()\n",
    "            self.env.seed(seed)\n",
    "            random.seed(seed)\n",
    "            np.random.seed(seed)\n",
    "            tf.random.set_seed(seed)\n",
    "        self.writer = tf.summary.create_file_writer(\"./recording/ppo/\")\n",
    "        self.history = {}\n",
    "\n",
    "    def calc_advantages(self, values, rewards, next_states, dones):\n",
    "        gae = 0\n",
    "        advs = []\n",
    "        for step in reversed(range(len(dones))):\n",
    "            delta = (rewards[step]\n",
    "                     + self.gamma * next_states[step] * (1 - dones[step]) \n",
    "                     - values[step])\n",
    "            gae = delta + self.gamma * self.lambda_ * gae\n",
    "            advs.insert(0, gae)\n",
    "        return tf.stack(advs)\n",
    "\n",
    "    def get_distri(self, mu, scale_diag, name='MultivariateNormalDiag'):\n",
    "        distri = tfp.distributions.MultivariateNormalDiag(loc=mu, \n",
    "                                                          scale_diag=scale_diag,\n",
    "                                                          name=name)\n",
    "        return distri\n",
    "\n",
    "    def calc_loss(self, states, actions, rewards, next_states, dones):\n",
    "        action_mu, values = self.actor(states), self.critic(states)\n",
    "        action_mu_old = self.actor_old(states)\n",
    "        next_values = self.critic(next_states)\n",
    "\n",
    "        target_values = rewards + self.gamma * next_values * (1 - dones)\n",
    "        value_loss = tf.reduce_mean(tf.sqrt(tf.square(target_values - values)))\n",
    "\n",
    "        distri = self.get_distri(action_mu, self.scale_diag, name=\"cur_distribution\")\n",
    "        distri_old = self.get_distri(action_mu_old, self.scale_diag, name=\"old_distribution\")\n",
    "        \n",
    "        entropy_loss = tf.reduce_mean(distri.entropy())\n",
    "\n",
    "        advantages = self.calc_advantages(values, rewards, next_states, dones)\n",
    "        logprob = tf.expand_dims(distri.log_prob(actions), axis=1)\n",
    "        logprob_old = tf.stop_gradient(tf.expand_dims(tf.math.log(distri_old.prob(actions) \n",
    "                                       + 1e-6), axis=1))\n",
    "        ratios = tf.math.exp(logprob - logprob_old)\n",
    "\n",
    "        surrogate = tf.clip_by_value(ratios, \n",
    "                                     clip_value_min=1. - self.policy_clip, \n",
    "                                     clip_value_max=1. + self.policy_clip) * advantages\n",
    "        surrogate_loss = tf.reduce_mean(surrogate)\n",
    "\n",
    "        loss = value_loss * self.value_coef - entropy_loss * self.entropy_coef - surrogate_loss\n",
    "        self.history[\"policy_loss\"] = surrogate_loss\n",
    "        self.history[\"value_loss\"] = value_loss\n",
    "        self.history[\"entropy_loss\"] = entropy_loss\n",
    "        return loss\n",
    "\n",
    "    # @tf.function\n",
    "    def training(self, states, actions, rewards, next_states, dones):\n",
    "        with tf.GradientTape(persistent=True) as tape:\n",
    "            loss = self.calc_loss(states, actions, rewards, next_states, dones)\n",
    "        grad_actor = tape.gradient(loss, self.actor.trainable_variables)\n",
    "        grad_critic = tape.gradient(loss, self.critic.trainable_variables)\n",
    "        self.actor_opt.apply_gradients(zip(grad_actor, self.actor.trainable_variables))\n",
    "        self.critic_opt.apply_gradients(zip(grad_critic, self.critic.trainable_variables))\n",
    "    \n",
    "    def updates_old(self):\n",
    "        self.actor_old.set_weights(self.actor.get_weights())\n",
    "        self.critic_old.set_weights(self.critic.get_weights())\n",
    "\n",
    "    def act(self, state):\n",
    "        state = tf.expand_dims(tf.cast(state, dtype=tf.float32), axis=0)\n",
    "        action_mu = self.actor(state)\n",
    "        if self.istraining:\n",
    "            action_mu = self.get_distri(action_mu, self.scale_diag).sample()\n",
    "        return np.squeeze(action_mu)\n",
    "\n",
    "    def play_one_episode(self, env):\n",
    "        state, done = env.reset(), False\n",
    "        step_count, reward_sum = 0, 0\n",
    "        while not done:\n",
    "            action = self.act(state)\n",
    "            next_state, reward, done, _ = env.step([action])\n",
    "            if self.istraining:\n",
    "                self.memo.push(state, action, reward, next_state, done)\n",
    "            state = next_state\n",
    "            step_count += 1\n",
    "            reward_sum += reward\n",
    "        return step_count, reward_sum\n",
    "\n",
    "    def play(self, train_num=5):\n",
    "        self.steps_record = deque(maxlen=self.episodes)\n",
    "        self.rewards_record = deque(maxlen=self.episodes)\n",
    "        train_count = 0\n",
    "        for epi in range(1, self.episodes + 1):\n",
    "            step_count, reward_sum = self.play_one_episode(self.env)\n",
    "            self.steps_record.append(step_count)\n",
    "            self.rewards_record.append(reward_sum)\n",
    "            if self.istraining:\n",
    "                ds = self.memo.get().batch(self.batch_size).prefetch(self.batch_size)\n",
    "                for i in range(train_num):\n",
    "                    for states, actions, rewards, next_states, dones in ds:\n",
    "                        self.training(states, actions, rewards, next_states, dones)\n",
    "                self.memo.forget()\n",
    "                self.updates_old()\n",
    "                train_count += 1\n",
    "                with self.writer.as_default():\n",
    "                    tf.summary.scalar(\"policy_loss\", self.history[\"policy_loss\"], step=train_count)\n",
    "                    tf.summary.scalar(\"value_loss\", self.history[\"value_loss\"], step=train_count)\n",
    "                    tf.summary.scalar(\"entropy_loss\", self.history[\"entropy_loss\"], step=train_count)\n",
    "                self.writer.flush()\n",
    "\n",
    "            print(f\"\\rEpisode: {epi}, Total steps: {step_count}, Total reward: {reward_sum :.3f}\", end=\"\")\n",
    "            if epi > 0 and epi % 50 == 0:\n",
    "                plt.plot(self.steps_record)\n",
    "                plt.show()\n",
    "                plt.plot(self.rewards_record)\n",
    "                plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "env = gym.make(\"MountainCarContinuous-v0\")\n",
    "# min_action = -1.0\n",
    "# max_action = 1.0\n",
    "# min_position = -1.2\n",
    "# max_position = 0.6\n",
    "# max_speed = 0.07"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": "Episode: 50, Total steps: 999, Total reward: -82.426"
    },
    {
     "output_type": "display_data",
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m4UPtkx4bz31dY6mxooAdIQJ8wLqlyTn52mTt4yevWfnQVcvZUFNMZoaFy1eUxzXIJ/pnzDXuoX94bNGM5D8NfENE2oBvAvf4j68FjIg8KSKHReTPw72AiNztT/Uc7O5O/A5AifTQq1au+fpzCf8mjNS4x8uXHj3J/338NLdsqeHBj+yhzL/45v1XNGIbcvHU610hn/vS2W6KczODk4aRiMXk62FrHy+f6+Xua1ZO6+N9x856TnYMcrLj0i+Slh5HXLf8WyjrlhZxpssR0YT4Qhn3ePnCf56guiiHT9+4Nnj8ipXlccvLH28f4PKvPsMPX2qJ+Dm2oVHa7LHbMP3Stn9JEuRF5GkRORHiz63AJ4DPGGPqgc8AP/A/LRO4Gniv/+/fFZEbQr2+MeY+Y8wuY8yuqqrZqyxS2YEWO+19IwyOjif6VGZljOFPf9LEg/tb+dhbV/L3d26fFDSvW1fNstI8HnylNeRzXzzbw9VrKsmwRD5CjsXk63efPUdZfhbv2dMw7b5bt9WSnWHh4YO+0fzomIf2vpGknnSN1PqlRYyMebDGMFhF66H9rZzsGORL79w4aV7mypW+T3evxHg0bxsc5aM/Pojd6eIrv36dXx3tmPU5b3Y7uOXvXuIT/3oo4vdp6XFy7TeeC87nTBVc7boAC6EggiBvjNlnjNkU4s+jwAeAR/wPfRgITLy2A88bY3qMMcPAb4Ad8biAVNLc49vhJ5lL3QK6h1w8fqKTj711JffcvAHLlGCdYRHed0UjrzT3crZrcprgzW4nFwdGuXr13H6pByZf51svf+LCAM+ctvGRq1eE3PyjND+bGzcu4dEjF3CPe7Haffu6JvNCqEit81fYJMvkq21wlG/91xmuWVPJzZuXTrrvsmBePnaTr6NjHj764CEGR8d45I/fwuXLy/jsz47y6gy/SM73OHnP9/fTPeSiudsZ8SfsQ619tPYO88jh9pD324YWrm8NRJ+u6QCu9d/eC5z1334S2CIi+f5J2GuB16N8r5RmjKGl2/ebv2co+YN8q39EOFP547t31ZGdYeGh/ZNH8y/669EjnXQNKM7NYmUUK1//8b/PUZSTyfuvXB72MXfsrKNveIxnTnXR7P//SIV0zdolhYgkTxnlV39zCte4l6/cOr3zaIZF2L2ifMYAPBfGGO555DhH2/r59ru3sa2+lO//4S7qy/P46I8PThuEAFh7h7nr+/sZ8xju2l3PsNuDPcKVuIFPS48dvxjyF4Mt2dI1s/go8C0ROQp8DbgbwBjTB3wbOAAcAQ4bYx6L8r1SWveQC6fbNzfd40j+Zd2tvb5v5Mby8O0IKgpzuGVLDT8/fAGn61IK6sWzPSyvyKd+hueGs2mek69nu4Z4/EQnH7hqOSV5WWEfd82aKpYW5/Kzg23BT1bLK+d+nskmPzuTxvL8pGhvcM7m4NEjHXz82pVhU2FXrKygucc5axluJP75hWZ+0XSB/3njWt6+yfepoTQ/m3/50G5ysjL44AMHJr1Pm90X4EfGPDz0kT3sXb/Ed7xvJKL3a/cH+eZuJ2dt0/ff7R5yIUKweVy8RRXkjTEvGWN2GmO2GmP2GGMOTbjvIWPMRn9qJ+zEq/JpnpC/WwzpGmuvE4swY88ZgPdf2YjDNc4vmnylie5xr6+VQQSrXEOZ7+TrT15rIzvDwoevXjHj4zIswu/tWMbzZ7rZ32ynqiiHotzwvxQWk3VLizh9MfEj+df8NfC/t6Mu7GOuWOn7hBhtlc0zp7r42yd8hQF/OmVDmvryfB744OX0Dbv50AO+zeMv9I/wnvv3MzQ6xkMf2cNltcU0+Acjkc5ntPUNs6qqABF47NjFafd3D41SUZAzacFaPOmK1yTRstiCvH2YmpK8YJ15ONvrS9lYW8xD+1sxxnDY2sew2zPnVE3AfCdfm9r62FpXSnkEo6c7dtXjNb4Omcm4G9R8rVtazPleZ8I3EDls7aO8IJvGivADhMtqiynKjS4vf6ZriE/99Agba4v55u9vDbshzT++dwdvdA3xsQcP8p7v76d/eIyH/mhP8Hst0GI60gobq32Y7Q1lXL68nMdPTA/yC7kQCjTIJ42WHifZmRYqC7MXRZBvtQ/P+EMaICK8/4pGTncOceB8Hy+d7SEjwlYGocxn8nXM4+X1jkG2+DfYmM2KygIuX+6rOU+FSdeA9UuL8Bo42zU9hbCQDlv72F5fOuPagwyLsGeeeflxj5dX3uzlj350kLzsDL7/h7vIy84I+/jr1lXztd/dxMvnerE73Dz4kT2TSnsLcjKpKMimvW/2ID865qFr0EV9WT63bK7hTJeDc7bJn566Ha4FXVynQT5JNHc7WV6RT1VRLt1DyZ+Tt/ZGFuQB3rWtlqLcTB7c38qLZ7vZXl9K8TxTIPOZfD3TNYRr3MuW+tKIn3PHTt9CqVQonwy41N5g5rz8C2e6I55knKv+YTfN3U52NIZfuBUwl7y8a9zDc6dt/MV/HGP3157hru/vx+5088/v30lNyeybvfzB5Q187307+NnHr2RbiO+TuvJ82uyz5+Tb/Xn7hoo83r5pKSLwm+Odkx6z0CP5+Pe5VBFp6XGwurqQYbcn6UfyDtc4vU53xBOn+dmZ3LGznh+/ch6PMXz6hrWzP2kGm5aVcPB85B/jA60QtiyLbCQP8M6tNbzS3MuNly2d/cGLxPKKAnIyLTNW2JyzOfjDH77GZ/at5VP71sT8HJqs/QBsbyid9bET8/K3blsW8jHnbA7+7pmzPHvahsM1TlFOJns3VPO2jUu5dm1VyFLZcN6+qSbsffVleRENLNr8o/36snyWFOeyq7GM3xy/yP+4wfdv6fUaehyuBauRBx3JJ4Vxj68me0VlIVWFOcHFEsmqtdc3f9BYHvko971XNDDuNXNuZRBKYPI10l+Gx9oHKMnLiviTB/h+MX3nD7al1Eg+wyKsWVLIGyFKBgP+/YCv31BnnLpAHrb2YRHYGsFK5w01xRTnhu9jM+we56M/Pshzb9h455YaHvjQ5Rz84j7uvXM7N2+umVOAn019eT4X+kZC7jkwUaCyJjAAesemGk53DvFmty9F1jfsZtxrqCrUIJ9WLvSPMOYxrKwsoLIohx6HK6lbGwQmoOYSNFdVFXLNmkpK8rKCm0/P11wnX4+197OlriTp+88shHVLisMuiHKNe/j5YV8VVLw+TR629rF+aXFEAdhXL18RdvL1a785xfleJ/e9fxd/c/sWrl9XTU5m+Nx7NBrK8xn3Gi4OzJyysdqHycm0BIP4O/wLvR4/7puADS6EKl64prwa5JNAoHxyRVUBlYXZuMa9OFzJ29ogUCPfMIcgD/CtO7bybx/dE3Xp2Cb/5OuxttmD/OiYhzc6h9g8h1RNKlu/tIjuIVfInPtTr3dhd7opysmMy6dJj9dwxNrPjsbSiJ9zxcpyWnqcdA5M/mTx3Bs2Htpv5Y+uXsGV85zEn4t6f6nwbHn5NvsIdWV5wRXgNSV57GgoDeblbQu4gXeABvk4uvvHB0NuRDFVYKXrisqCYC/wZF4Q1Wofpiw/a86Tp9XFuWysjT7YFuVmcVlNMa80z76D0KmLg4x7zZwaoaWymSZff/paG8tK89i7oTouQf5M1xBOt2fGbplTBfLyr7ZcStnYnW7+/D+OsW5JEZ+9aV24p8ZUfbm/jHKWChurfXjaXNXNm2t4/eIg53suNV3T6poU4PEanj7VxaNHZm+C1NLjpCjXV6Z1Kcgnb17e2jscXCCSKNesqeRQa9+klbShBCddo0wRpYr1/iA/dfK1tdfJS+d6+IPL61lanEt3HFKGgUnXuQT5QF7+lTd9Qd4Yw/965Dj9w26+8wfbpnUSjZfa0jwscinnHk5b3/SfjXf499r9zYmLdDsWtm8NaJCPm4GRMbwGjrb1z9retaXHycpKX8/yYJBP4snXVruThorETkhevaaSMY8Jrp4M51j7AJWFOdSU6MZk4BtBlhdkTwvy/36gDYvAHbvqqCzMwT3uZSjGKcNIFkFNdSkv7wvyjxy+wBMnO/nsTeu4rLZ4lmfHTlaGhZqSvBlbGwwMjzE0Oh5M7QQsK81ja30pjx/vxDbooignc8a6/VjTIB8ndqcvSA+5xoMz6+G09DiDVRyVRb4Vmck6kh/zeOnoH52xZ81CuHx5OTmZFl48O3PK5lh7P1t10jVIRFi3pGjS5OuYx8vDh9q5fl01NSV5wVRCrFM2h6197GiYeRFUKFeuquB87zCHWu385S9Psnt5OR+9ZmVMzy0SdWV5M656tU6prJnols1LOX5hgMPWPqoWsHwSNMjHTe+EnHpTW3/Yx42OebjQP8IKf6fD8vxsRKA7SXPyHf2+MrK5TrrGWm5WBrtXlAc7WobicI1zrtvBZk3VTOLbQGQo+Anz2dM2uodc3Lnb12M/HkE+sAgq1PaEs7liZTkAH3rgAAb41ru3zmkfglhpKM+fMScfrJEvn7746h3+Gvxj7QMLWj4JGuTjpm94QpD35yJDOd97qbIGIDPDQkVB8rY2iKT75EK5enUlZ22OaZUXAScvDGBMZDXZ6WT90iKG3Z7g6syfvmZlSXEO16/zNY2LR5CfTz4+YMPSYkryshgcHef//M5l8+peGgv15fl0DbrC9v6ZaSRfX54frPBayPJJ0CAfN73+ErW1Swo5MsNIviXYs/xSjruyMCdpc/KBPvKJHskDwU6WL50LnbIJTLrqSH6yiRU2Hf0jPH+mm3fvqg+WtlbFYfL/sLWPDIuwtX7u/xcWi3Dn7nruvLye398ZvnNlvAVG6O1h8vJt9mFKZ6g6u9k/AbuQ5ZOgQT5u7P50y971S3ijczBsFUiwRn5qkE/Skby119dIbckCVgeEs35pEZWF2WFTNscuDLCsNC84ma181i4JBPkhfnawDQOTNjUvycsi0yIxHcn7FkEVkZ89v1Wo97xjA39z+5aEzq0Ea+XDpGza+kamTbpOdPNmXy+b2tLZe+nEkgb5OOn1LyrZs6Icrwm/OrOlx8mS4pxJKwB9nSiTMyff6i+fnLrdXyJYLMJbVlfy8rmekBVMgZWuarKCnEwayvN5vWOQnx1o4+rVlZNSDBaLr8orVkE+sAgqkn41ySzwbxSujLLNPnNpcWNFAT//xFXceXl92MfEQ1RBXkS2ich+ETkiIgdFZLf/eJaI/EhEjovIKRG5Jzanu3jYnW7KC7PZ6u9oFy4vP7GyJiCWP2CxZrUPJ0U+PuCaNVX0ONzTlur3D7tp7R3WVE0Y65YW8fSpLjoGRrlr9/RNzauKcoI13dGazyKoZFRVmEN2piVkGaXHa7jQN0JdiEnXiXY0lMW0p04koh3Jfx34sjFmG/Al/9cAdwA5xpjNwE7gYyKyPMr3WlT6ht2U5WdTXpDN8op8jrT1hXycL8hP3kO0siiHkTHPrAt9FpoxBqt9OCny8QFXr/Y1O3vp3OSUTeCTk066hrZ+aRHjXkNFQTb7NiyZdn9VUexShoetvu/9xR7kLRYJW0bZNTiK2+OdMV2TKNEGeQMEViSU4NvYO3C8wL+Jdx7gBhK/ueQC6nW4g3s4bqsvpcnaP20FYf+wG7vTPW33oWRd9drjcDPs9iTVSH5pSS5rqgun1csHJl03ac+akAKTr7+/qy7k7l6Vhdkx+zR5uLV/zougklVDeX7IbQADgT/RK8FDiTbIfxr4hoi0Ad8EAmmZ/wCcwEXACnzTGBNyaaKI3O1P9Rzs7g5f87zY2J3u4FZz2xvKsA25uDil1K8lxKQr+H7AIPmCvNXuO99kGsmDb/Xray32SaVtR9v6WVFZMOOm3ens6tWVvGPTUj541fKQ9/tG8u5ZV2tHommei6CSUX1ZfsiRfCCFk6jyzpnMGuRF5GkRORHiz63AJ4DPGGPqgc8AP/A/bTfgAWqBFcBnRSTkEjVjzH3GmF3GmF1VVfPb3DnZGGOCOXkguNPM1Lx8S8/kGvmAwEg+2XaICnafnEMf+YXw1jVVuMa9HDx/KSV2/MKATrrOoDQ/m396X/hdk6oKc/B4zaT1HvPR53TT3DO/RVDJqL48j8HRcQZGxiYdt9qHEfG1MEg2swZ5Y8w+Y8ymEH8eBT4APOJ/6MP4gjvAe4AnjDFjxhgb8DKwKx4XkIycbg9uj5fyfF+Q31BTTHamZVpevqXHSYZFpuXxAotRkm0k39rr+0YOtaIvkfasLCcrQ4KllLahUS4OjGrnyShU+Utko63yampLjXx8wKWWw5NH8+32YWqKc2fd2D4Roj2jDuBa/+29wFn/bSuwV3wKgCuA01G+16IRqJEPpGuyMy1sqi2eNpJv7nFSX5Y37Rsj8LxkC/Jt/m/keG3MMF/52ZnsaCgL5uWPa+fJqAVShtHm5Q+39s97EVQyCpZRTqmVt9qHqUvCVA1EH+Q/CnxLRI4CXwPu9h//LlAInAAOAA8YY45F+V6LRq+/OVmF/wcFfHn54xcGGPN4g8eau6eXT4Kv411ZflbSBfnWJKusmeita6t4/eIgPQ4XR9sHsAhsXMAuhakm2NrAEd02gE1t0S2CSjbhNg8J1WI4WUQV5I0xLxljdhpjthpj9hhjDvmPO4wxdxhjNhpjLjPGfCM2p7s4BHbdKS+4tNJyW30prnEvpy/66rm9XsP5EOWTAb7WBsmXk0/Wb+RAKeXL53o41t7P2iWpE1gSIRb9a4I7QaVIqgagJD+L4tzMSRU2o2MeugZdSVk+CbriNS4CQT5QQgmXdqcP5OW7hkYZGfNMm3QNSLbWBk7XOD0OF40J7iMfzqZlJZTkZfHi2R6Otw/odn9RKszJJDfLElWQDy6CmsN2f4tB/ZRulIFeNg0VyTVXFaBBPg4CQb5sQpAP9FAJ5OVDNSabKJaLUWLBmsR1wODbXOLq1ZU8caKTXqebLf6KJjU/IhIso5yvQ62pNekaMLWMMthiWEfy6cPudJOdaaFgwu4vIsL2htJgR8pQjckm8o3kkyddEwjyybyg5eo1lcEN0LfoSD5q0bbXeLXFzpLinKQdGMxXfXke7X0jwcWN7TO0GE4GGuTjoNfpW+06dfHHtvpSmnuc9A+7aelxkptlYWmY3tKVRdk4XOOMuEP3rl5o1mAf+eRM18ClvHxWhrC+pijBZ7P4VUUR5I0xvNrcy54VFSmxCGqi+vJ8XOPe4L+N1T5MTqZlwTcDiZQG+TiYuNp1okt5+f5gz5pw3RyTrbVBq91JcW4mJfnJu4K0vjyfFZUFXFZTnHRlnotRNE3KzvcOYxtysce/q1MqmdpyuM0+Ql1ZXlJ0Zg1Fyw/iIFyQ31JXiohv5WtLj5PLasKX+AVGBd0OV1J8DGztHU7aSdeJ/u7O7Vh06BITVUU59A27GfN4ycqY2z/qq/6Nt/esqIjHqSVU4OexzT7CzkbfSD4ZfkbD0R+HOAgX5AtzMlm3pIiDrXas9uGw+XiYMJJPkpbDydZ9MpzNdSVsrNV8fCxUFuZgzKVCgrl4tcVOZWEOq8JUjy1mdWW+KprAPFUy18iDBvm4CBfkwZeXf+XNXjxeM3OQLwqsek385Ou4x8uFvpGk6j6p4m++tfKX8vHlKZePB98m8tVFObTZhxkYHmNodDxpK2tAg3zMucY9OFzjk2rkJ9pWX0qgsV+4GnmAioLkyclfHBhl3GuSurJGxd58g3x73wgdA6MpmY8PCNTKz7R5d7LQIB9jfU5fd7qJq10nmtiNL1yNPPj63ZTkJUdrg2TtPqnia+K80FzsT+F8fEB9WR5t9pFLNfJJ1rRvIg3yMRboW1NeELoKZXV1IQXZGZTlZ1GaH3q0H+Db6zUJgnyS9pFX8TXfkfyrLXbK8rNYUx26ZUcqqC/P5+LASLBdeDKP5LW6JsZC9a2ZKMMiXLmqAte4N+T9EyVL/xpr7zDZGeFr+lVqys3KoCgncx5BvpfdK8qTtqQwFurL8vEa36eW0vwsinOTt7RYg3yMXQry4Ufp9965nUj226ksyuFUR+J3TWztHaauPI+MFP6hVaHNtVa+o3+ENvsIH7pqRRzPKvECI/cD5+2sqU7uhXearomxUM3JpirIyaQwgh3bqwrnvxgllqz2Ya2sSVOVRTlzKuN9tcWfj0/hSVe4lIMfHfMmdfkkaJCPObvTjUWIyd6ilYXZDI2OT9q7dKEZY3xBfhEshFKxN9eR/KvNdopzM1m/NLV7+deU5JHp/2Rbl8STrhBlkBeRrSLyiogcF5FfiUjxhPvuEZFzIvKGiLwt+lNdHHqdbsrys2OSj0yGbQDtTjcO13hSTyyp+Jlr/5pXW+zsXlGe8qm9DItQ69/PNZlr5CH6kfz9wOeNMZuBXwCfAxCRy4A7gY3A24F/FJG0aCZid4RfCDVXl/rXJG7ytTXQfVKDfFqqKsqJ+NOkbXCUlh5nSpdOThRI2aR6umYd8IL/9lPA7f7btwI/Nca4jDEtwDkubfKd0mZa7TpXydDa4E2bA4CVKbg8Xc2uag6N8va32IHUz8cHBEbwyf4pN9ogfwJ4l//2HUC9//YyoG3C49r9x6YRkbtF5KCIHOzu7o7ydBLPPuyetLdrNCqTIF1zzuYgO8OS9KMVFR9zqZV/tbmXwpzMGRvvpZItdaWUF2SzrDS5c/KzlniIyNPA0hB3/W/gw8DficiXgF8CgbxCqIRcyKpBY8x9wH0Au3btiqSyMKnZ/Tn5WAhU6CQyyJ+1OVhZVUDmHLsQqtQQ+DQZUZBvsbNreVnafK/ceXk9v7djGdmZyX29swZ5Y8y+WR5yE4CIrAVu8R9r59KoHqAO6JjPCS4mHq+hb9g9Y/nkXORmZVCUm5nQnPw5m4MtddrVMV0FR/KzDDR6HC7O2RzcvqNuIU4rKVgsQq4l+acao62uqfb/bQG+AHzPf9cvgTtFJEdEVgBrgNeiea/FoH/YjTEzL4Saq0TWyo+4PbT1DSf9Yg8VP4HU42wj+dfSLB+/mET7OeMuETkDnMY3Un8AwBhzEvgZ8DrwBPBJY0xy7GMXR33D/tWuMdwGzNfaIDFB/s1uB8b4+u2o9JSVYaG8YPYeSq8295KfncFm3Vs36UTV1sAYcy9wb5j7vgp8NZrXX2x6/WmV8hjl5MHXV/6NzqGYvd5cnPNX1qxZokE+nVUWZs86kn+1xc7OxrI57yCl4k//R2Iokr41c1VZmJOwnPw5m4MMi7BcV7umtaqimRdE2Z1uTncOsWeFpmqSkQb5GOoN9K2JUQkl+IL8wMgY7gi6VsbaWdsQyyvyk756QMXXbPNCl/Lx6bEIarHRn94Y6vMH+ViVUMKlErZAn/qFdNbm0Hy8oqrI1/LamNAVzvube8nJtGgVVpLSIB9DvU43RbmZMR35Vvo/FSx0X3n3uJfWXq2sUb6BxsiYB6d7eu2E12t44kQnb11bRU5m8pcTpiMN8jEUy5YGAZXBOuXRmL7ubM73OvF4jU66qhlXvR629tE5OMo7t9Qs9GmpCGmQj6F4BPlg75AFHsmf7fJV1mi6Rs0U5H997CLZmRZu2LBkoU9LRUiDfAz1OmO32jUg0hWHsXbWNoQIrKrSIJ/uwrW89noNvzl+kevXVUW0CY5KDA3yMdQXh5F8blYGhTmZC96/5qzNQX1ZPrlZmmdNd1Vh+tccbO3DNuTili21iTgtFSEN8jFijPE1J4txkAff5OtC18qf63KwRlM1Cl+1WIZFpgX5x451kJNp4Yb11Qk6MxUJDfIx4nCN4/Z4Y56ugYVvbTDu8dLS42S1TroqfI24Kgomr3r1eA2/OdHJ3vXVFGiqJqlpkI+RS6tdY9e3JsC36nXhgrzVPozb42W15uOVX1XR5O/BA+ftdA+5uEWrapKeBvkYCQT5uIzki2ZvEBVLZ4M9a7RGXvlM3dD7sWMXyc2ysFdTNUlPg3yMBIJ8fHLyOfQNjzHmWZjWBoHGZFo+qQIqJ2zo7fEaHj9xkRvWLyE/W1M1yU6DfIz0xnMk769uCPwiibdzNge1JblaFqeCAukaYwyvtvTS43BrqmaR0CAfI/HoQBlQ7a9T7ugfiflrh3LWNsQqHcWrCaoKcxjzGAZGxnjs2EXysjK4fp2mahYDDfIx0ud0k5NpIT879nXlm/2Nn4629cf8tafyeg3nbA7tWaMmCSyIujgwyhMnOrlhQzV5cfheV7EX7fZ/W0XkFRE5LiK/EpFi//EbReSQ//ghEdkbm9NNXoHVriKh9jCPTk1JHrUluRyy9sf8tae60D/C6JhXe9aoSQIpw18f66DX6dZeNYtItCP5+4HPG2M2A78APuc/3gP8jv/4B4AHo3yfpBevhVABOxrLONzaF7fXDwjuBqXpGjVBYCT/k9fayM/O4DpN1Swa0Qb5dcAL/ttPAbcDGGOajDEd/uMngVwRiX0BeRLpjUNLg4l2NpZxoX+EiwPxzcuftfm2GtTKGjVRIMjbnW72bVii7S4WkWiD/AngXf7bdwD1IR5zO9BkjAlZ6C0id4vIQRE52N3dHeXpJI7d6YpLZU3AzsYyAA639sftPcDXfbKyMIfSGG58oha/4gn7JGhVzeIya5AXkadF5ESIP7cCHwY+KSKHgCLAPeW5G4G/BT4W7vWNMfcZY3YZY3ZVVVVFdzUJ1Occi8tq14ANNcXkZlk4FOeUzVmb9qxR04kIVYU5FGRncO3axftzmo5mLYQ2xuyb5SE3AYjIWuCWwEERqcOXp/9DY8yb0ZxksnONe3C4xikvyIrbe2RlWNhaV8oha/yCvDGGN20OfnfHsri9h1q8rllTSUl+lqZqFpmoVruISLUxxiYiFuALwPf8x0uBx4B7jDEvR32WSS6efWsm2tlYxn0vNDPi9sSlfK1r0MWQa1zz8Sqkv7l9S6JPQc1DtDn5u0TkDHAa6AAe8B//E2A18EUROeL/k7LT8b2O+C2EmmhnYxnjXsOx9v64vL5OuiqVeqIayRtj7gXuDXH8r4G/jua1F5O+YX9Lg8L4BvntDb7J10PWPvasrIj56we2/NOFUEqlDl3xGgPxbGkwUXlBNiurCuJWL3+u20FpfhaVcf5lpZRaOBrkYyCYrlmAssOdDWUcau3DGBPz1z7X5WB1VWFcVu0qpRJDg3wM2J1uMixCSV78qmsCdjaW0Tc8RkuPM6ava4zhjG1I2xkolWI0yE/x6JELfO7ho3N6jn3YTVl+FhZL/EfAgUVRsa6X73W66R8eY7Xm45VKKRrkp/jhSy08fKidgZGxiJ9jd8S3pcFEq6oKKc7N5HCM6+UvTbrqSF6pVKJBfgLb0ChH2wcAeL1jMOLn2Z1uyhaoDYDFIuxoLIv5SP6clk8qlZI0yE/w36cv9c452TEQ8fN6na64l09OtLOhjDNdjjl92pjNsfYByvKzqCnJjdlrKqUST4P8BM+c7qKmJJfqopw5j+QXKl0Dl/LyTTFM2TS19bO9oUwra5RKMRrk/VzjHl4828Pe9dVsrC3mZIRB3uM19I/EtznZVFvrS7EIMauXHxge45zNwY6G0pi8nlIqeWiQ93u12c6w28MNG6rZWFvCuW4Ho2OeWZ/XP+zGmPhs4B1OQU4mG2qKY9as7Ii/TUJgRa1SKnVokPd79rSN3CwLV62qZGNtMR6v4Y3OoVmf197n28QjsNn2QtnZWMYRaz/jHm/Ur9Vk7UMEtvj3klVKpQ4N8vgWAj1zuou3rKokNyuDjbW+YBdJyubAeTvg255vIe1sLMPp9vBG1+y/iGbTZO1nbXURRbnxX8yllFpYGuSBN7sdtNlHuH69r1FmfXkeRbmZnIigwubAeTsN5fksKV7YqpQdDYGdoqJL2Xi9hiNt/WzXfLxSKUmDPPDMKRsAe/1BXkS4rGb2yVdjDAfO97F7RXncz3GqurI8qotyoq6Xb+l1MjAyFvyloZRKLRrkgWdO29hQU0xtaV7w2MbaEk5fHJwx5/1mtwO7083u5Qsf5EWEnY1lUU++Nln7AXQkr1SKiirIi8hWEXlFRI6LyK9EpHjK/Q0i4hCRP4vuNOOnf9jNodY+blg/eU+TjbXFuMa9NM/QCOy1Fl+AvTwBI3nw5eXb7CPYBkfn/RqHrX0U5WSyqkpXuiqViqIdyd8PfN4Ysxnffq6fm3L/d4DHo3yPuHr+TDcer2HvhslBftOywORr+Lz8ay29VBXlsLwiP67nGM6OGDQra7L2s62hdEGaqymlFl60QX4d8IL/9lPA7YE7ROQ2oBk4GeV7xNWzp21UFGSzta500vFVVQXkZFo4eSF8Xv7A+T52Ly9P2CrRy2p8H5zO+JuLzZXTNc4bnYNsry+N4VkppZJJtEH+BPAu/+07gHoAESkA/gL48mwvICJ3i8hBETnY3d0928Njatzj5b/f6Oa6ddVkTBnJZmZYWL+0KOzka3vfMBf6RxIy6RqQm5XBkuIcWu3z6y1/rH0Ar9FFUEqlslmDvIg8LSInQvy5Ffgw8EkROQQUAW7/074MfMcYM+sQ0xhznzFmlzFmV1VVVTTXMmdNbf0MjIxxw4bQe4xfVlvCyY6BkLswBerjL0/ApOtEjeUFWHuH5/XcpjZfmmebjuSVSlmzbuRtjNk3y0NuAhCRtcAt/mN7gN8Xka8DpYBXREaNMf8QxbnG3DOnbGRahGvWVIa8f2NtMT95zUp73wj15ZPz7q+19FGUm8m6pYndZKOhIp/nz8zvE1CTtZ+VlQWULWBLBqXUwpo1yM9ERKqNMTYRsQBfAL4HYIy5ZsJj/hJwJFuAB3j2dBd7VpaHXem5sdaX8z7ZMTgtyB84b+fy5eXT0jwLrbE8n+4hF8PucfKzI//vNMbQZO3jrWsX9tOTUmphRZuTv0tEzgCngQ7ggehPaWG02Yc50+Vg7/olYR+zfmkxFoHXp1TY9DpcnLM5Ep6qAd9IHsBqn1vKpr1vhB6HW/PxSqW4qEbyxph7gXtnecxfRvMe8fLs6cmrXEPJy85gVVUhJ6ZMvh4478tl716R+AC5vKIAgNbeYdYvLZ7l0ZcEtg/UyhqlUlvarnh9+lQXKysLWFFZMOPjfL3lJ4/kX2uxk5NpYfOy0jieYWQaAyP5OU6+Nln7ycvKYH2C5xSUUvGVlkF+YGSM/c297LssfKomYGNtCV2DLnocruCxA+ftbG8oJTsz8f98pfnZFOdmzrmMsqmtny11JWRmJP4alFLxk5Y/4c+dtjHmMbxt49JZH7tx2aXJVwCHa5yTHQPsXlER13Oci8aKAlrnMJIfHfPweseA5uOVSgNpGeSfPNlJdVFORPnojTWT2xscau3Da0hIU7JwGiry5zTxerJjkDGP0aZkSqWBtAvyI24P//1GN2/buDSifi0l+VnUleUFR/IHWuxkWCSpAmRjeT4X+kYi3iWqSSddlUobaRfkXzjbzciYJ6JUTcDG2mJe9wf5187b2bSshIKcqAqTYqqxIp9xr6GjP7JulE3WfpaV5lG9wBudKKUWXtoF+SdPdlKSl8WelZGnWzbWltDS48TudHOkrZ/dy5Mrl91Q7i+jjHDytcnal1SfRJRS8ZNWQX7M4+Xp17vYt2EJWXOoKgmsfP33A224x71JsQhqokAZZSSTr50Do3QMjOpOUEqlibQK8vubexkcHedtG2cvnZwosLH3g6+cBxLflGyqpcW5ZGdaIpp8PeJvSqYjeaXSQ1oF+SdPdpKXlTHnfi1LinOoKMimY2CUtUsKk66hl8Ui1Jfl0do7e7qmydpPdoaFy2ojXx2rlFq80ibIe72GJ092cf36KnKzMub0XBEJBsVE9o+fSaS18oetfWxcVkxO5tz+DZRSi1PaBPmmtj66h1xzqqqZKJCySbZUTUBDua9WPlTv+4Axj5dj7QOaj1cqjaRNkH/yZBdZGcL1MzQkm8m1a6uoKMjmqlWhe88nWmNFPsNuD90T2i9MderiIK5xr+bjlUojaRHkjTE8caKTq1ZVUhymd/xsrlxVwaEv3khVUU6Mzy42ImlU1mTtB9CRvFJpJC2C/KmLQ1jtw7x90/xSNYtBsFZ+hiB/2NrHkuIcakp0EZRS6SItgvyTJzsRgRsj6Dq5WNWX5yECrTOUUTZZ+9nRUIZIYnezUkotnKiCvIhsFZFXROS4iPxKRIon3LfFf99J//0JGz4+ebKTyxvLqSxMzlRLLORkZlBbkoc1TBllj8OF1T6s+Xil0ky0I/n7gc8bYzYDvwA+ByAimcBDwMeNMRuB64CxKN9rXs73ODndOcTbUjhVE9BQnh92JK/5eKXSU7RBfh3wgv/2U8Dt/ts3AceMMUcBjDG9xhhPlO81L0+e7ASY8yrXxaixIj/sxOthax+ZFmHTspIFPiulVCJFG+RPAO/y374DqPffXgsYEXlSRA6LyJ+HewERuVtEDorIwe7u7ihPZ7onTnayaVkxdWX5MX/tZNNQkU+v043DNT7tviZrHxtri+e8EEwptbjNGuRF5GkRORHiz63Ah4FPisghoAhw+5+WCVwNvNf/9++KyA2hXt8Yc58xZpcxZldV1dzaDcxmYGSMJms/+zak/igeoDFYYTM5Lz/u8XK0TXeCUiodzdoU3Rizb5aH3AQgImuBW/zH2oHnjTE9/vt+A+wAnpn/qc7d8Xbfbk47G9MjuE2slQ+s0AU43TnEyJhHJ12VSkPRVtdU+/+2AF8Avue/60lgi4jk+ydhrwVej+a95uNoez8AW5aVLvRbJ0RDoOXwlMnXprZ+QCddlUpH0ebk7xKRM8BpoAN4AMAY0wd8GzgAHAEOG2Mei/K95uxoWz8rKgsoyZ/fKtfFpjg3i7L8rGkLoppa+6gszKGuLC9BZ6aUSpSo9rAzxtwL3BvmvofwlVEmzNH2fq5cWZHIU1hwDRUFWKfsENXU1s/2hlJdBKVUGkrZFa+dA6N0DbrYmmabVTeW508aydudblp6nJqqUSpNpWyQD+bj60oTeh4LrbEin47+EdzjXkB3glIq3aVukG/rJ9Miwf1Z00VDeT5eAxf6RwA43NpPhkXYUqeLoJRKRykb5I+1D7C+pijtFv80VkyulW9q62NDTRH52VFNvyilFqmUDPJer+Foe3/apWpgQq28fRi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     }
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": "Episode: 100, Total steps: 999, Total reward: -73.235"
    },
    {
     "output_type": "display_data",
     "data": {
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     }
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": "Episode: 150, Total steps: 999, Total reward: -75.756"
    },
    {
     "output_type": "display_data",
     "data": {
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": "Episode: 200, Total steps: 999, Total reward: -84.667"
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "&lt;Figure size 432x288 with 1 Axes&gt;",
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    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": "Episode: 250, Total steps: 999, Total reward: -82.753"
    },
    {
     "output_type": "display_data",
     "data": {
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     }
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": "Episode: 300, Total steps: 999, Total reward: -77.595"
    },
    {
     "output_type": "display_data",
     "data": {
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     }
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": "Episode: 350, Total steps: 999, Total reward: -75.221"
    },
    {
     "output_type": "display_data",
     "data": {
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     }
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": "Episode: 400, Total steps: 999, Total reward: -95.458"
    },
    {
     "output_type": "display_data",
     "data": {
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     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": "Episode: 450, Total steps: 999, Total reward: -72.669"
    },
    {
     "output_type": "display_data",
     "data": {
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     },
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      "needs_background": "light"
     }
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": "Episode: 500, Total steps: 999, Total reward: -63.116"
    },
    {
     "output_type": "display_data",
     "data": {
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krWWzuxENB5HR8rYb22YZDprL25LKJioZTccPH9s+qvfKcs7lGrmMB2z8mwgZxqcaiXogv8+5aCiEwNGRLI7raQNgGBAhBIazGqZ1xkDkrW83IwcG7AuhUg/u7TDWQGZ2xQEUDIYTu+dfvewzbN5s3n7GbFsJgXikYAZePuA+a5Q3DT0vrEJuvR1Ra9YgpSw9L7BNieDKNEEyn/NGW80NTd7g2fNnfEX1GL3CBWuNEMIK9XR6/kMZDTldYO5kw/gPpHJIZnUIYXhC7ZGQTcdudvYP2AugSUlgaqdh/GdNMoy/1yL4UFpDgICe9qgloVVD0vy+80+wl0dXG4s7x1j47hx62iMACuGeiWgQcTNRTEp+yayGrJ7HrG5jX5qhwbtzfaWaWkaDKfb8GZ/51oMv45++V0inr1fERSqnW5mJTuMv67zPm5JARzSEgVTO1tKuIxZqKdnHqdNLzb/HjH7qNf/3Mi4ysaqnPVJRUpiTYY9G4qfN7rIeD6a1ovBbPS8wktUxZ7Ih3/1mzS4ARhVKZ2E4WbZDliWutjF8I+IMXZVrXJUgs98nJSI1HVMtYOPfBOw8PILvPLzFtq1exl+9EJzGf+cRQz+eP6UNnfEwBtM5WzPrzni4pRZ8RxxesIzxbzPruIeDAbRFgp43xGRWRzwSwpT2CI4MV//7ypuNs6PUivn2uPL9DnlKjnPOpIS1LRoKIBQsdAJL53SkczpuvP8lAEBX3PiOpvD8Hce6miJ8cj2sXsXaqoGN/wTnqe1HcP43/1q0vV6JNtL4x11qvOwwE7vm9yQM45/KWcleve3RlvP8kw6PWnri0nsOBggdMe8bYjqnIx4JoDsesYxKNXjpz70dUXzwNcfho+cfD6B4bULmIqw8bjKO7zUkPJmlLceezOi45fEd+K3ZklKuKbgl/k00Dg06jX81nn8OHbEQQnUq2VANjTcipip++vedrtsP1svzN2P8Z3TFii70HUdGML0zhkQkhK54CIMpDfds2IdJiTDOPG4yOmLhlkryUj1/Tc9b8oqs7BkMENpjIW/ZJ2vIPm3RoK1GT8XfXyLs8AuXnoTLzpwLANjn0P1HlNnaB19jhIfK0hBSsuobTtt+S2n8m6Hom1Ou66/G809mG1LyAdj4T3i8Wuj11cnzl4u907tiRZ7tgYG0Fb7YGQtj30AKD75wAJecOgPhYKD1PH8lqSuj5a26PlGb5+99TKTm3xYNlSyL8cCmA3hg04Gi7fLm49T8JdPMmjJenr9xEzeMumYaf/n77utPWxnDQCGBrFzNoImA8wZWaelywJB9uhP1ac5SLWz8Jxh7+1P44j2brGget+iM3o4oDg7Wx/M/bOqh83vaMJLVrcqEgBElMbXDMA5T2qPYcyyFdC6P1ctmAYBp6FrI81e89axmeP6JSBBXn7cAF5w4Fe9ZOdeUfbyNfywcRHs0hJGs5hly+C+/WGf16bV/v1xjcNefoyFjMdmp+RfeF0SnqeXLr57aEUMwQNg/kLL99pPNyKBqFkcbFafxlzWRKuFYMle3zlzV4pvxJ6LfEtF6899OIlpvbp9PRCnluaJOX4w3193xHH72j514Zlc/UlndVX+c0hapW2eoFw8MoSsexuKpRkVCWwmC4YwVwy61YgA4Y+4kALAMXTMkAlWC0/NPZo3ibD3tUfzkfWdiUlsEHVHvG6Kh+Ruef15UL6mMZDQQ2TN6nUzvihU5FJbnHw1ZHr0kGCBM64hi/0AaOcXzXzqzC5FQAOt3u2cMTySczWpyVeQuDCSz6G412UcI8W4hxDIhxDIAdwC4U3l6m3xOCHGNX2NoRrJKMo1XTHYl9dlrxaa9AzhpRicmtZmenuzqpenoT+Ys479oWof1HlnGoDMWhpYXTbEoWAmq5p/RdAxndCvSR1JS9skWZB+gunhzwJh5JMJBBErU3JnRFS9ORsuqnn+xFzujO479/WlbbklHLIRls7vx8ydewQ6PrOGJQpHnr1furPSncuhuNc9fQkQE4F1wNHJnRkfADLMQQhRNz996+iy89fRZaIuU1oRrxY//th0b9gxg6cxOa2orp/lPbTcqRErjv9CcGajJLvJxqyz6qr9JxpR9nIuvHaUWfE3Nv93U7J21gSr5/nKZpjO6YtjX777ga3j+xe+f1hlF33DGWgcAjJIV7zpzDrJaHjf9dVtV42w0nOsW2SoSKJMZvSGze4H6aP7nAjgohFAD0Y8jomeJ6FEiOtfrjUR0NRGtJaK1fX3u1QZbDRlil9XzeGHfoO25L1x6Ev7/dy9DIhK0pup+IouAffi8BdbUVlb4fO9P1gAwJCgAmNkVw1WvmodffPAs6/3S+LeK7j+SMTJ0AWPR0K29X3s0jGRWd83QtmQfU7Ov9gZfSTvBnvYoBtOa7fsL+QHunn93IoL+ZNZmFKOhAN6xfDZWLZmGp3YcqWqcjUYql8d5i3tx0xXLAcC2tlEKPS+Q1fMlZbbxZEzGn4geIqKNLv9WKy+7HHavfz+AuUKI0wF8CsCviajT7fOFEDcLIVYIIVb09va6vaTlkJ5/Mqvjb1sP4/jeNpw2pxtAIZGkXsb/yHAWZy+YjGmdMWtq61zgW2DFhRO+tPpkLDPHaozXeE+r1PdJZnVMNm+GWV3HcForSvuXf7t5/0mH7FPO+Gcc2bV9wxlMaS+tP8u+vmlF15ZrFYlIyGoxePnKOdbzkxJh9CdztvHIonFnL5iMnUeSoy5B3Qikczq642G88eTpCAWoYuMvZwxq7aRGYkzzESHEqlLPE1EIwNsALFfekwGQMR+vI6JtABYDWDuWsbQK0vNfs+Month2GFeePR8fv3Ahth4athJJEtFQXYz/4ZEMlkw37tsynK0/mbMujvedMx8Lp3Z4vr/g+Te+8d+wux8//fsO3PiO0xAJje5iTmY1TG6L4PBw1tvzV46JulAohDBkn4hi/F36AaiL5yMZ3TLCAHBkOIPF07x/D6CQtJXO6dbYRrI6wkGy9nvrDW+y1ervjkeg5YVtrUC+VnYkG0hlLQmwUbj85idxwYlT8eHzFpR8nVxrAYws7Eo1f7lW0JSefwWsArBZCLFHbiCiXiIKmo8XAFgEYHT1UlsQ6fn/+qldICJ8/MKF6E5EbCn6iXDQFlniF0dHspYn2RELg8hY4JJVKedNSZR6uyUh1LsK6Wj4zsNbcNf6ffjL5oMVv+eRlw7hlscLvYtHMrpl0I04/+LG3p0eN8SMlocQMEM9DWMy7KL5Z21yjf0zDg9nraQsL6xaPYrzkMxoSCjhoaFgAESK8Tdv/LuVnBNp/GPm/424qP/E9iO4oYI6/fKmCxg9CrIVRvvIYxhtUeN/GYoXes8D8BwRbQDwOwDXCCG8+8cxNlTNvzMWdg0jk56/s3lILcnpefQnc5jSZhiTYIDQHg1hIJmtuHvRrO44AgRbCeBG5XhzwfqRzZWvPf1u7R58688vQQiBdE5HKqdjqun9ZjRD9ile8DUMqVP2SStepCr7PL3zqM3bT2cV4684AFktj4FUrmLjf2gog0NDafNziqOSVGQGqxrNJLOWpdFstExf2zFzGduBgTRe3D9oPR815bBIKFC97NOgxt/XZWghxPtctt0BI/STGQW6YtC9tER5oaY13eax1ZJjZsr7ZEVD7oyFMZzRLa+1I1Y6xK0tGsLCqe14bk+/L2OsJdLbkwaxEoYzGkayOvYpckihbLNR+rjDYfwLYZz22ZAlIUSC1nH93l+2Ym9/CrdctQIXLpkGwF5FU/X8ZYmCno4ymr9ptN/+g38AAHZ+7RIksxoSJW7kk9qKf2fL81dkpEZCjUzacXgES2bYlx3P+drDyAtg+39ejIyWd8g+FXr+DW78G3MlgvFETS33OqkSkdGFAlaDLCnc01YwJu3REIYzOctrraSG+amzu63OUI2MlNGqOabyOLx8cMiqwjnP7G0gC+85Z0fyt0tl7QZGSmlt0RDaIkGEAmT1ylU1aFWuUWUhmYldzvOPu3j4Iy75CCpus8+QuSYQC0nj31iyjyrduPWUkPcGpwGvSvPPFm7YjQgb/wlGMlfw5ryNv2FQ/NT9ZVSPmroui5JJr7WSptWLprbj8HC2ZKx/OqfjUY/G4vVCShpDVYRXSoO99eCwZXzlOojM0Wh3zI7iYXeZZFBpB0hEtnoxNgmjjOc/pa1ctI/9nBJCGJ5/iRnkZBfjL9cE5Oy00WQf1XsvFW127o2PAIBd86/S83ce00aBjf8EIZ8X+P2ze7BxbyG23+ukkoW7/Iz4KVR6VIx/NIThdKFPrHMx0w3ZIGS3R4E6APjIL9fhqp+swc5xzBSVReuqia1XPX/ZCnDOpASIgIMenr+zOYpE5kLIBWE13j6j5fHp2zfg6/dvtnn+6lgrleJiIfs5ZTR30T2LwQEoWbgsGmpM2aec5y+RN015XMLBQMXlHRpd82fjP0F4Yf8g/vW3G2zbvKaT8Tp4/m5dodpjIQxlCsbfqWe7IRuE7D7qXqpCCIFHXjK8/q3juDAsPf9qjL802FsODVttF3s6ImiLhHDANP5OacxqjpJ1Gn+78Y4o9eGzWh6/W7cHP/jrNttN485n9uIlsyevNRsrc0N2riP1J7NlPX818seJvJllGsz4q72FK8kwlzO1ahZ81XWaRoSN/wTBLRzSy6Noq4PmL+UP1ZgYRcm0QrRPRZ6/sQC655i7569epNsPj5/xT1Up+wghrBvG1kOG7BMPB5GIhNAWDeLAgCEDOaN9VNnn+49sxY//ZkRBSwMlbxZZ3d14qWtCT2w/gov+5zFj3OnK1mGiDs//6EjWiPYp4fmXolGjfVQDXkmo8WvNvsfVaP5ynaNRPf/GLDrBFOHmcZbX/P2XfVTZQso+w2aj8UpO+q54GO3REPYcc/f8Vblg26Hxk31k2GRWyyOn561MVy/SuTz0vMCcyXHsPprC37b0WbXv26MhbDclLOdCajBgJFMlszpuetSoiRMgwpfvfQFAwfNXjZdslwl4F3uTxt+rnLPEKSX2J3NFcf5uEBllnr+8eqnV4wFo3Dh/280z5X1DDwcJl6+ca2Wmh4OVZ/haC74NavzZ858gqIZcTvljHtNJGTHiq+zjYuDbYyGkcjr6U1m0R0Ml5QAJEaEr7l3DXt1v1cjVG7VzViXSz5Aps1xwwlQAwMsHh63s2vZoyKqH7/S0AeOYqjc9afiBws0ipxW8T/Wm6NbcZzCdw1BaQ1skaMvMdUOWd5AcGckimSsd7QMAN7zlFERDAbxn5Vx87MJF1vZQMIBwkBrO889WKPvkdGHlLACjC/WMNWh5h8YcFVOE9OjWfPZCvP/V8wGU8Pxl1UcfPX9ZmkA18HIWcGAgU3ZhUcWoReRdyRIwPMu9/e6zg3owki2UYqikHIWM9Fk2t9t63yIzUUyVepzGFjD7IXv8dvJ4T+0shGxu6yvIYc/vKQ6bPfWLf8ZP/r6jot/E6fnv709BCJSM8weA95w1Fy999U2uvWpjoeCEXfAF7DfoSFWyj44A2ddnGonGHFULI4TA1kNDRdut4lrRkBXp4eXDySl6yucFX2ekiizUdmAwVVGYpyQRDXneqKQRXNjbjgMDaVuSW70wwh0L2bluNXWcWLkO0TDefobRuew4s8idavxdPf8K+jH88Mrl+PrbT0EkFMAhpWjaul3HPI99JWswqpwVDJAlx5Xz/EsRDQcbWvYp121s1J5/1ui8VskMeDxg499g/PH5A1j1rcdw/0Z7D1a5eGssGhoXole8sZwR+LngO5wurksjFxP3HktVZGgkbZFgUf9fiTSCi6a1Q8uLqjJsa0VGM/R76W0PV+L5K83Sv3DpSfjee07HxafMAGBfJ4m6eP6xcLBso5YZXXG8+8y5lmGSPRWM1pnuiVzV3JABo1rnb9fuBoAxZYrHI4GG9fxPm92FDXv6S5YVV3+jcChQcZx/Rss3bIw/wMa/4ZDG7ZdPvmLbnsxqiIcNzVZ6i16NpIMBQtzn4m6qDCKRmZ7HkrmKsnslbRV6/gCKGo3UA7nu0Gv2Iy5nmHcdSeK7D28FYNwQQ8EALj11pvW7qZEzUZcKoYlI0MoIlsTDQZx/QnFZc/mZJ83oxGsW9QAAejyMf6JK713N3HW7SVVKI8s+bz19FjJaHo+9fNjztaoBr2bBN53TXX/fRqFxR9ZiHBnOYP519+HhFw8BQFG9GzXcTp5QznrtKn7U9H/lyAgu/O+/4tBg2lhAdBj/yY5SD5XSFgl6LqLKfVhoLpa+csQ7Gcwv5E20x6xjVM6Qve9na/DEdqOBidtxaI8a8lg0FHCVBOLhYFH9+9uveRV+9v6VRa/NmyvHx/W24fzFxs3Bq3Ty2p2V9dP93ntOx70fe01ZeapSYuHGM/5St186qwsAPFuiAg7ZJxCwLbaXIqPlG9r4c6hng/DMrn4AwONbDQ9kMK3h4GAa08x66Gq4nbwoS/ViTURrb/xveXwHtvWN4L7n92Mko1mhixK1wFc1nr9RhdTd+EujsWR6ByKhADYfKF4P8Rt5HGVdnHJ6vBoZ5CZ/yZLMXpJALBzEYTOzVNLl0QdWHrfJiQheaxp/N9mntyOKjytROKW49NSZAAre8TuXz8aFJ06t6L1uxMP16yldKVndGM+UtggCVDrWX73xhUOVe/4ZTWfZhymPm2e0YXe/9Xgkq1vT9lVLpuJfXrsAn7t4iefn+dHHt9DOz6jh44wZ746PxfP3kH3M49IRC+OEaR1FrSvrgTyOsi6Os+iaE1UicTsO8ubt5RXGI8GimvFeJRTkQmp3IoypnTF8852n4cqz5xW97lcfOst1eynkzPLNy2aWdDTKEQ0H6rrgm87peOdN/8Czu7xnOvL4RsNBdMXDZYy/fcG3Us0/nWtsz79xR9ZiqLHGs7qNrFdV4khmCzJLKBjA9W9agiklKjRWEjFSLdIIxiJB1wXfSChgLTZLaaMS2qJGfoBbJE9SSZQ5aUYn1u/ut4U21gOn519uLUWtj+N28cvf0csrTLhsL3czlfr8O5bPxgJzfURlNIlGck1pemeszCtLU2/ZZ/OBITy98xi+cPdGz9dkTdknHDTyTEpF/Kg380gwUHEzl4ymj0ku8xs2/g2CqvHO70kgGCD0pwpT/5GMXtWCnS+ev5LlOpzVXGv3hIOGh1hdtI8ZmupiIOQCeCwSwNWvXYDhjFa0GO43ludfoeavGgs3Tb+9jOffrchn5y7qwRVnzy0bLjjJpbKmymjqy7z+JKNHwLSusRl/Z9Ka38gggVDA27xZnn8wiK5EBP0Vyj7xSNCK/ipHRsuPaaHcbxp3ZC2GavwnJSLoiodxTPFGUtnqjL8fC77SCB4byUKI4ro0QKE8brnSwSpWUprjZrVp3wB++KhR2yYSDOD43nbM6IpVFGpZS+Rx7IqHEQpQ2eNabqpfzvNXSyR/ZfXJ+OpbTik7xlKVNYHRef6fv2QJnvrshVb+xmiJ1Vn2OTJiXEulkquk8Y+EAuiOhzGQzHq+Vk3EszqtOc7BbX3D+PIfXrB1zzNknxb0/IloGRE9SUTriWgtEa1UnrueiLYS0UtEdJFfY5hIqIk6U9oi6E6EbTVSql08SkSCFSUjVYPU5WVtejfv/sPnHodzjp+CN548veLPlZ6/0/i/pCzuSs/Xj5taOeT3JSKhiuS0cr9TOc9fjZoq59FLvBaEKx2TG6FgwAo4GAv1XvA9bF5L4ZD3bMlm/BPhij1/WVLbWRLiwz9fi5/8fYetvEZG0xva8/cz2udGAF8SQvyJiC42/z6fiE6C0dt3KYCZAB4iosVCiMYKB6gTQggIUWiLCBg17iclIjimeCPVho3FI7XPqpQ3EzlLcdOhP3fJSVV/rpzR3PXsXnz4vAWWd3VwMFP0WqNbWL09f5ldHaxIwiiXzt9ezvNXjH9nvLJLtJxxL1fTx0/qrfnL3gmBElJZTs8jQMZx6a5iwVeem07jL6vPqsc5k8sX9UdoJPy8LQkAsjFmF4B95uPVAG4VQmSEEDsAbAVQHMDcInzmd89hwWf/aDNocycnMClhl30M41/5iRQNBWteQ13eoPqGvY3/aJCf852/bMWnby/0LNhtlnm++9pXW9sSEe+wUL+QM55EOIh4BTOPctEgznwNJ6rxL6f11+o38JNo2NDJ83UqzSFnpqU6dGX1vNVnWEb7eI3P5vnH3es7yTUApalaS3v+nwTwABF9E8ZN5hxz+ywATyqv22NuK4KIrgZwNQDMnTvXt4HWi6yWx6GhNGabDUwA4Hfr9gCw1xeZN6UN3YmILayx2mzBaDhgq4U/VmQzcqDgWdXK8KhFw1SpZ8+xFE6Z1YXTzHK6gGE49/WXr79eS5JZDdFQAKFgoGTRNUm5416N51+Ov3z6tWULk403cr0ho+Xr0tjEMv4ljks6V5BR28wqq6mcbj623wTUMcv1D+dny4bwMn8AMDz/pg31JKKHiGijy7/VAD4C4F+FEHMA/CuAW+TbXD7K9ZYrhLhZCLFCCLGit7c4tX2i8bnfP4/XfP0R1ygc2dkJMBqcuHr+VXgR0ZDhbTlP5NFyUBmfvLjcFnxHg1o0bCSr47dP74KeFzg4kMYMR6TJuHj+SphtJZp/VsujIxbCXz99vuvzVpy/x+9ZjfGf2hHDwqkdRdvPnD+p4s/wG7lgWi/pZ2+/ca6WknKG04U8Ffl7yOtSTgCuPHse/ufdy2wZ05bxd3j+MtM6q2T/phs8yWtMV68QYpXXc0T0vwA+Yf55O4Afm4/3AJijvHQ2CpJQU/PIS0bpBulhALAlmJy3uBfnLepBIhJCdyKCVE5HRtMRJIKeF1XKPrIERG2KSx0cKDb+1WTxlkL1/PuGMvj3O55HJBRAKlcc4dQWDWHYx4J1biSVMNtExPD8f2aWSH778tlFr89oeZy9YArm97S5fl44GEAkFPD8PdujIaycPxlXnTN/1GP+2ftXom8og/O/+ddRf0atUPsS1+OWtNeUCwdSOQghXKWz4Yxmnb9yJjac0TAVhUY507tieMvpdlGiIPvYbyxS9pHv1fOiqBdAo+Gn7LMPwGsB/BXABQC2mNvvAfBrIvoWjAXfRQDW+DiOBsI4CdUY4cltEcv4nzlvEj507gIASkOWjG5pk1XJPjU2/nJmEgyQNf5aef7tLhUjhXCPcGorUfvfL9Rs5ng4iGMjOXzxD0aDFXfjX16ie/2SaVgxz90UEhFuu+ZVYxpzWzSEtmgIz3zh9dAqzEj1Cyn71MPzH0rnMJjW0BkLYTCtIau7r5Wpszn5/21r9+Df33iCdX7LnBUVeaNwdv/SLdnHONZWHkEDL/j6afw/DODbRBQCkIap3QshNhHRbQBeAKABuLZVIn2kA6JmCE5KhLHDfKwaU2lskjnd0sSqMf5W42xNBzC2OG2gEHkzb0oC2/uMzlG10vzddOCcnkc6V3zjMuoA6cjnxZhKDlTDQCpnhVLGwkFsPlC6xESmgvju7//zGTUbXymqkZD8oiD7+H8Tkg1/jutpw4Y9A6b3Xfy64bSGLjOMVi7A3/ToNpw8qxPnLjQk5qBLklgoGEBbJFgU7WN5/ua1LW90bs16GgXfRiaEeFwIsVwIcZoQ4iwhxDrluRuEEMcLIU4QQvzJrzE0Kmo1TrVOumpMZeJTMqNZr49W4cFbnn+NLrjhTA6hAFnJW+Eg1WxKG3H5nMGU5rrILdcH6hk3PpDKWQ102iIhSxP2Cp/MaHnXfWpVouH6/Wb7Tb1/3hRDcvMqxWA0I5KlSArX3dGRLLS88R43zx8wnLRkVsOBgTTu2WAo1rqwe/6ZCeD58xk6DmS0PH7xxE68cmTEdnK6ef4jWd0y4NVF+6iev8GaHUfxpFlquFpS2Tzi4aAtQsLPDkUDqZy5yF2s+QOV9dGtFYOpnKX1Tm4veNJeTVOyFcg+rYQV7VMP2Scjy28bv41XBc6RjG4ZffW6CxBZkTteN3cZ7nvNL9fh4795FsdGsormb/xvOWwNfB40fpBwEyFPpb6hDL5w9yb0dkQxSUnLV5t8xCMFz19ePNV4EbFQ8VT7XT98AgCw82uXVD32VE5HLFIw/n7Fl9/50XPwgZ89bS0qO6fNbXXoT+xkMK1Zsk9PiWJ6kkav6VJv5DmTLtF/olZkrCqwxvnp5fmPZAqav3oup3O6ZfzDHrWBZLivlH72DaQKmr8l+xj/N3K0D5+hdUQ6yjIFvG8og5cPFipUtnt5/qPwItw8/7GQzumIh4PWGP0y/mfMnYTOWNgKLXXe8BIepSC8UENdv3LvC3jXTU/g1jW7Kh6PpucxnFGNf8Hzd5MxhBBVJ+Q1O9J58SqF/aPHtuMPG2oT8CflFsv4u3j+QggMK53oVM//WDJrLZCX8vxTOd1yBGSfY6Aw05gInn/jjqwJIdP333nYvRuVGgVkaf5ZraAfVhXnX1vNP5U1jL/U/P3MLO2Kh61aR0Wev1wIr8Dz/9aDL+PUL/3Zyky+5fEdWLPzKK678/mKS0TIeG5p/Ke0FTx/t+gVaWwa+aKvNzJyzavW1A1/fBEf+82zNfmutMPzd5N9klkdQhTOYbWEdn8yZ3n+IQ/NX4b79prGf69i/Is0/waeATbuyJqYV46M2P4+vrcNS2d2Wi3lALuRy4xiCqmGetYCKftIzdvPWjGd8VDB+Iecmr97BdAdh0cw/7r7bA08vvPwFgylNVsCnaTSyqAyDNcy/ornn84VlywohPjxpSWRhthZEsEPCp6/8Xu5tVyU545bR7z+VA6aqdt7lYSWheqkNKt6/l/+wwv44M+eVqJ9GncGyGdoHZGyzytH7Z7/GXMn4b6Pn2vzpuWJNaJG+4w61BNjrquSyumIhwPoMT3fWpaOAIBPXLgIV5xtlPDoioet4nFOz8la8HV4kU/vPAoA+OnfdwKwz6KSWb3IA3SG6nkhjb/M7FSNP2A/Djk9j189ZUhKCZfchVZFntfOxCg/kL+HnG24yT5yUdht9tqfLET7eMs+IaSyunWjV7PfhzMaHt58aFRBGvWmcUc2wbl7/V5sPWTvOCVPJafn7xYWaCV5ZfVRhY1FHQu+Q2OMjpGav4wbr7Xx/9fXL7bq1i/oKXSicnr+avKbijTO8saqrnWkczoODNi9/0rr4cjXyVDPyY4Sy6r0c8vjO/C1P20GUHyTaGVCwQASZvc3v5EJdvKakgb6vuf2Y90rxqxwxMX4b/iPN+DVC6fg2EiuZJIXAMTDASv7Hig0HLKPg0M9W5ZP3Loeq771qOtzMhxM4mb8ZQmAkezoPH/ngq9q7EZT7yeVNaa5Uvap1UKyGyfP6rQeO6fN7R6efypn/L3zsHFjVaOcklkd+/pTttdXKkHIbGIpN4WCATxx/QX4yuql5vcWjoPq2faw8bfRHg3VR/YxEwNlWe2cnsdfNh/Etb9+Bl+4y2jrOOyQfQCgKxHGpEQE6ZxuXZ+enn84aHPKVNlH0tJJXkwxXnHxXvXf28yFJWsKOZoFX/MEVS+8+zceKJqVlCNlVkGUnm+tFpLdWDqzsPbh3GevaB9ZdlnKOapRTuV0qxKppFLZR36OKuPM6IpbM4ErbnkKdz27F4C9oYq6MMwYuv9QpviY16rwoMTp+ef0PJ7fM2iNASicK07ZR/YdkBKh13UZjxg9p6WBd1tTkk4De/4tRrUndNjjJEtEQlj3yjE8vNkoCFdVnL/pMf/H3Ztw17N7bcbuI796Bh/6+dOe7735sW3YtG/Atk2WwO0xE5v+6bSZFY+lWmZPiluPnbJPJBRAOEhFcf7Oej+qHJPKakXGvlLZp9DFyz4OeXy3943gk79dD8D++7DsY6cjFnb1/J2z4LGSyRk5FvKaymp5qymS/KZh8yak5tUAhsOU1vJK8x73dZt4OIislrdKe7td7jJKjD3/Cczuo8mqJY5qT+i8x82ipz2CTfsG8eALBwFUV0VTlYh+9LftRReeV/mBgWQO//nHzfjnHz9l2y5DPdujIWz4jzfgMxedUPFYqkWdIbldPIlICEkPz18I4+ZrN/56UXnfUo0+VOQF7qw/5NYTVz1PJkKTlXrSEXOXfco1vqmWtKYjFgoWjL+eR79p/GUCmKwK62xDGgsbDZCs56PuzpZ0BEq1fpTOBXv+E5QHNh3AuTc+go/9+ln88fn9+Mgv15V/E2BFC5RiVnfBu9U9InF6Owq17BORoOcMwY1wMIDvXn46Lj5lOrYcGi4yfmpDGZWXDxnNVPqTOWthWghhRvsYJ3JXIly3toBuF097NFTS8zem5Hnl73yRp1+p7CM9f6exdytGpyYx+Vn6YiJiGP/iY+6VgTtapOcftWQfYfXFkOeE24IvYDaa1/JFoaBOYuZvr7ZedSLPL472maA8Ysotf37hID76q2fwp40HKpJ03GKLAbuX87P3n4lXLZgCoNAFyMm0zoJuPJrQwX86bSZed8JUZLU8Nu+3V6L0SnJSO2m99ht/BWBcQHnhbvD8Ql407p5/sEjzV5O+RjK6rY6Mu+xT6YKvjnCQim68bp6/XB9YOrOz6LlWpyMadj3nah04ILOrVdlHev6yvMRIRkOAin/DWCgIPS8sR8nL+MuksMG05lnuYzClIRIM1K3y7Ghg41+CdE7H1I6oLXKjkrK0XlNZ1cuZ39OGNyydBsDb869FOd5F04wuTxsdGr5XTXy3heDUOCSsfOjc4wC4664JV89fVx5rRQu+gykNs7rjOG+xUa630gzfVFZzNfROrzGfN6SmzlgI93383Io+u5XojIes5ip/29JnnX/qNVGLvgPG2lTACtPM6XnL85dBCkNpzbUwoQwuOGLWlUp4nO+qEzSzO+b6msF0rqG9foCNf0kyWh5d8TBWzJtsbfNKUVfxkn3URKNwMIBQgIq2ezO6hbFOU9c84oh2GVHi5PcPpPCiOTNwa31nhcbV0fP/9BtOwMYvXeSqnbdHg0USgjoTGM5o+PvWQvXSpKn597RH8L8fWIkTp3dU3FgkmdVdZ12THQu6x5JZW19Yxs60zhjSuTye2HYEV96yxsqHUI1/LXJHpOevRvscc/H83c4r+dsdGckiFjZ6NrvRrUR1OduMSgZTuYYu7QBwVc+SyIt5uvIDJzM60F7iTSgh+zhObtkswsvz71YSikYbESfj/dV+wIDd833Vf/0FAHDi9A5bv1JAJkgZcczTOt1PdD8gIs9F03lT2nDvhn22Fn2q5//ApoP4yd93WH+nckYFRhmeGY8EKzf+Lq0kAaDDMbafP/GKkQhXxxvkRGKmucYlW5keNfXyjMP4jzVCVoZ6StknldWthWb5m6tdvFRkZNnRkWzJBftpij2Y0RV3fc1gWmvoxV6APf+SGJ2kAjbjX4nn7yb75POiSNuX00KvtcH3vmoe3naG0UN0tAFx8jsGUnbP3xktAwCbDwxh494BrJw/GV9/u5Fte3g4g31mg4wZHlPcerNkRicG0xr2KVm7SaVKo1rfpzNmpOIPpnJWFrAsyVsJMrnNiSoZ9HZE8bctfUYuRINf8OOFNP5rdhq/jQw4sBv/sev/6VzeZvxfNLuuzeqOI53LQwhhyT5OCrJPtmSLUtUJ6oyHrRnxD69cjn9/44kAjBl0o3v+vo2OiJYR0ZNEtJ6I1hLRSnP7fCJKmdvXE9FNfo2hWgbTOXz+ructSSFt9pBVm3ZU0j9WlX027h3Atx582bohrFoyFQ//n9cCAC49bQbe+6p5+MxFJ7p+TjgYwMcvWARg9MkwatSDyojZCtH5uceSObTHQtYMoG8og91mQ+yZ3e5eTr05aYaxjvHivkEIIfDVe1/AM7v6rTGrVRYntUWQzOo4llQ8f7MwVyUks5qr568yszuOrGa2nWTP35WZpgO1YXc/gEIYpTobrkWbR9n3WUaj/fH5AwCAc46fYn3HnmMpSw5ViSqef1uJAIv2aMhaU4iFA5jcHkE4SLho6XS8yvyewVSupT3/GwF8SQixDMB/mH9Ltgkhlpn/rvFxDFXx7Ye24JdP7rIyNtNmL1Z1wW8kU95oqLLPpd99HN95eIvl4Zy9YAqO7zV0o2goiC+vPrnkwq6M7ZdVCqtF1aClVLFsTjcAQ9LoMxe3VNqiISuK4U8bD+DG+18CUKifM95Ir/HgUBpHR7L48eOGxCMv8O2HC7WTJiUi2HpoGEdHslhi3jRikcqNfyqXR7xMpNXkRNhI+snpVhMdxo4zKibr6HjlfDxaUln3dZcTphu//b3P7cOOwyN4x/LZRa+RkWWHhzNl8zTktRANGVnvcl1IZgVredHQCV6Av8ZfAJAxb10AatOtwUdkmKPU2jOajmg4gJOU0L1Kmoi4yT5SY682AmByWwSfuegE/Oz9Z1b1PkkoQJDRZrMmxbHza5dYJ/4P/roV63YeK3pPezSEeVPaECDg5se2j+p7/URKK5lc3rqp9rRH8YlVi4pe29sRtZp6L583CYDh+acrln00z6gPSUcsbDacZ83fi0CA8JW3nIxrXns8gEKQQy09/6yWx2BaK3Kmbr36bOuG8JnfPQcAOG9Rb9H7C5Vw81Y/DS9kKY/jehKY3BaxpB9V6vEqD9Eo+Dm6TwL4BhHtBvBNANcrzx1HRM8S0aNE1DBxcdv6jDBHaVAyuTxioSDmTWnDA588DwCwYc+A5/slbiFrsqJhtVNBIsK1r1uIBb1lVplLvF9+pzRMMq39+49sw1fve7HoPR2xELriYZw6u9vadstVK0b1/X4gL7CMlrcW8T5/yRJbbR2JrEUUCQVwghn2Wp3s477gCwCrlkyzPjtrjoU1f2+uPHsernvTiWiLBC2jrzpKo+3x+/yeAbz9B//ArqPGjM9ZWuPsBVOKZgNuxl11zEpp/gDw9Xeciu+953RccOI0XLhkGt6wdHrRZ5STC8ebMUX7ENFDAKa7PPU5ABcC+FchxB1E9C4AtwBYBWA/gLlCiCNEtBzAXUS0VAgx6PwQIroawNUAMHfu3LEMtSKOmBEIUteXMcNAoUrjTY9uwyWnzMAps7vcPwTu5R1kPZHxWASKmSVopXzVHS9cHG5lHqTeef4JvVi/ux8zumK40DR0jYD0qNI5tdx1wJLoVMM+yfQCp3ZErdA9I9qnMi/Ta8EXAG664gxk9Ty+et+LyOp5W4MPxptwKFBod2jLxB6d8f+/92zEM7v6cfu6PQDci+qpRjkUIFevXL1BtJeR+s6cXwj/vuLsecr3FD7DqzZQozAmSySEWCWEONnl390ArgJwp/nS2wGsNN+TEUIcMR+vA7ANwGKPz79ZCLFCCLGit7d4mlZrpMeezOp44/88Zsb7Sm+58EOqMebb+oaLwgbd4vaHrEJP9TcOludvfverF/bgm+88DQCs7EcVWfNk9TIj0qjWtfvHSiBAiIQCyGgF2UfeVKX3/7ELFuLlr74JkxLG3+oCXsy8QVSyiF7K8zfq1IcQCQYKC74NrvM2ApFgwfirnv8zu/rxmds3VJ3sJWvs/HmTUQNLOmq//tBZeOhTRnCFet0FA+RafkN9TTnP3wvVuatnXsxo8PNM3QfgtebjCwBsAQAi6iWioPl4AYBFAMZdWN64dwAyEjOZ0bDZ1P/lxax6DrppNPqTWVz434/ii/dssn1WKeM/Hll/8oSUXmkkFMA7ls/GzK5YUfw/UNjn43racP2bTsTNVy6v32ArJBoKIKMVyupKuUX2Xe1ORBAJBTDJlH3CocLFHle03VLk82ZNozJeYCQUQFbPI5PTGz7CoxEIBwPWsVc1/+88vAW3r9uDrX2VlxvvG8pge58h9+w4LGUfw/M/Z2EPFk415FI1l8brlq/euL2KupXDLvs0tufv5+g+DODbRBQCkIYp3wA4D8CXiUgDoAO4Rghx1MdxlGXn4RFc+t3Hrb/VLFdpVFRPQcaI7zK7RskOQRJ32Wc8PX/T+Du+uyMWBgaKa5EfHCxEAP2LuUDXaERDhnTj9PxliJ+cAUjZR+3HGg8XEoBK/R4yI7Scdis9fyEau5BXoxANBaxrZM3Oo0ZBNUX+8eqdq7L7aBJTO6N4YruRyd3THsVhM3LNrZy2mtToNeNT12tG6/mrclKja/6+nalCiMeFEMuFEKcJIc4yJR4IIe4QQiw1t58hhPiDX2Pw4rand9sKmD2144jt+R1HCj12VePwsQsWAihok6+Yr5vcFsFze/px5zN7sPXQkGvFyOFxlH3kdzpPRrVE9P2fPBdPffZCrFoyFZedOaeu4xsNsbDd85ced5Dsxl8ubqsXpZwBldOYvWr5O4mEAsgLYybhVSqbKRAOBpDVdIxkNNz33H5cefY8W2Z5uZDPjKbj3Bsfwadvfw5/efEguuJhnDl/kvnZVJR9DQCXnDLDytfxUvvUEs+j1euJyDoHRnsDqReNPTqf+Lc7jHCvnV+7BADw1A77xGObUtxMlQYvXzkX3/3LVsvzlyWPJ7dF8Obv/b3kdw6NY4lXaficJ7RMegoGCCdM6wAR4cdXjS6ktN5EHZq/nLIHHJ6/1PqP62mz3itvhuWMf8qjnLMTteIne/7lCYcIOV1YN9e5U9owpS2CviHDcy+3GC9n5n/YsA/RUADvXDHbWjjuiIVd9fx4JIj/uWwZ3vOjpzxlH/V3HK3sAwBRcybY6J5/yxn/vEsdnaOOutx7lX6vagOKuMNo7DQ9/0qatwyNo+wjx9vrSLSRnn8sFJhw9eejoaAR5+/h+UuP/7Q53fjO5adj1ZKp1nut37FMrH/B8y+v+bs9ZtwpLJAXelOrUk05z18tx53R8jh/8VT8bUsfgOLuXCoycauShf5SGb7liIQCQKaFZZ9GxW2RTw03c2b2qUldUi6QRkFGyuztL27g7OTe5/YDGJ+2bv3moq6zMJs0/hMxPNGSfRya/9kLjBA8Neb/zafNtBlw5+/oRaF/b3nZR8ILvuUJB80FcmvWFrSFZ5ZbiHfKqm3RkLUoX64sA1BZnayxdGKT50OjL/i2nPF3q+aoehrTHSVapyjespzSf+OBl/C3LX3WrOBFR6MUN+SUdjySgGQXK7U5DGBPUZ9oeHn+n7/0JPzpE+d6dioDCuUhdhz2jirJ54Ul1ZWbrUWChVkTe/7liZhx/oVIrQD++ay5Vu/mcslezq5ssXDAukGX+q2kpl9Jmayx6PUFzb+xr6uWO1NdPX9lmzSQoQDhpivOsJqKAPaIn28/tMUWQXD+Cb345QfPsn3uNS6RMuOR5CUlp6kd9htbtxkD71VSupGJmp6/U/MPBwNYMqN0J615kxPoiIbw/F7vbO23/eAfuPKWNQCq9fxb7pKqGin7FCK1gjhrwRT87wdWAqjE87eXWIlHgtZvVKq9aCXevCzYNhbjL9cO2PNvIPYPpHD2fz1ctD2j5bF83iR84x2nYnqn4X20RUN448kzPPvmdifCNknozPmTiwy7m9EYz/T/qQ7PX9YiP+qS6NXoxGSop+klVlNHJRAgnDSzExv3es/Y1pvVJ4FKQj0Lz7PnXx7p+WcUzx8o9J4o12vB2XAoHg5aUl6prolyrefDikNXNLbg2L12+RmN3tinpc7UZ3f1u27PaDrmTU7gnSvmoDMutcNyhZ0iNs//+N62IgPk5gWOR0/P808wsqOdJ+Msc5pd6yba9UD1/KOjWLCeMzmBQ4PFOQ5ulFsTCSuyz0SU0OpNWC74mnKrNPryJlDW8y+SfQqef6DEeUBE2P6fF+OzFy/xfI1MCkuExy776B4d/RqFxp6X1BjVGKvnSCaXt7x2qYOXu2t3J8K2SKBZ3QlbFikAz1lDvfnhlcuNDmQOZjdIff7REA0FsPNIErc+vXtUHlZbJIiRrI77N+5HZyyMcxb22J7vjIUseYGjfWpLOGgkeclACyuLXmZelwj1HEjm8I0HXrJti4WDiJvGupTxB8o7X7e870w8uf0IuhKjL19+7esW4sP/u9Yq3d6otJTxt9X3UE4S2fcTKMS+58usCsnaMhefMh0d0TCWzOiwMn4lqkc4nkRDQVeP1FljfSIhu6INpHK2ZjuV0hYNIZnVcM0vnwFQyPmQ9HZEFePPmn8tkdeO5fmb56Y8dqVkn3W7iosB2GSfMR7+nvYoLj115pg+4/UnTSs6nxqRljpT1cUg9XFG060LWHb4cbZcdCLDJ1fMm4yvv+NUhIIBy3MBgF98cKVnA+hGQXpBZ8ztHt+BjIKtSiLeqDz/aMiWn7HNUU9GJhqdOX9SWYOuyn3s+ZcnEiRT8y9erA8GqKTs45ZTozpZ5Tx/pkBLnamacuJI4y+EsHRjoOD5e0XAyBNNxvirKeGqkVgxbzJC46DvV8sLX74It179qvEeRtWoE7PR5E44vfn/e/cmW4vOjJbH5Svn4vZrzim7nsCef3Wo/Q8AexBENBQo6fnLxLybrjjD2kZE1kydjX/ltNSZqvbWlbJPThe2glxS8/fy/Nd8dhWAQlawWkfEqf06Nf9vveu0se5CzUlEQhPSW/3+e86wxi2jlqpBTQa6/k0n4vGth/Hjv+2wtmU0vWJDzsa/OsJmSWdnUT6gULbDC5mY1+uQ+o7vMfT1i09xay/CuNFSZ6rN8zc9+IxDd5TRPm5lIACjSmRPe8SSfbw8/2CArPLCkredUdw3lBkdc6ckcPW5CwAUopaqQY3jvvq8BZg3JWEr9pfR8hXLSfbaPhztU45oKAgtL6xQafWYxcLBkp6/nJ05c1bmTknghS9fhHef6X/Tp2ahtYx/Xi0bK42/3fso5/kb7w3gmCn7qEbEGepZSWlaZvTIm6tb+8ZyqG38iAjH9bRhp1moTwiBrCIFlqPdY/bHuCPzTXYdTSIcJNv6WznPP+Xh+QONn1TVaLTUmaouFkltUG0DCBTq3ZTKeg0FyfL8VdnHqQ03SrRPsyI9x9F0THLWgJk/pQ07D49Ya0BA5dnYvS4lQBhvZpohxtsPjxQlPUZDwZKF3ZI5HaEANXwC1USgpc5Um+YvPX9HbZjOWBivO6EXN13h3b0qYhamAuyyj5NGj/aZ6LzldKPN5CWjCM1zZnDOn5LASFbH4eGsFYVSqYSjxo6z51+eWd2GZPPcnoGiGbbRb7q05z8RCxE2Ii01T9JcwsScnn8gQPjp+1eW/BxVyy9VLyQ8AaJ9JjJLZ3aNOp7a6fnPMou97etPYYZZ3G80Xnw1ZSZalZlKcqGzp0JbNGQrm+IkmdUavlTyRKGlzlTVy5ASULVTfMC+wFeqhCx7/o1LwtHhSxr81d//u9Xcpxpp4Y1LjSgT/s3LU0qb74iFrK53biSzunXNLZvTjX86bWwJWa2Mb54/EZ0G4CYA7QB2AvhnIcSg+dz1AD4Io4fvx4UQD/g1DhVNaawuJSCn7FMJ8gJviwRLpotzyHHjImdsy+Z0A7B7oz//x04A1Xn+333P6SWNFmPn5iuXQwBWGWdJezRsldJ2Q5V97rr21X4OsenxU/b5MYBPCyEeJaIPAPgMgC8Q0UkALgOwFMBMAA8R0WIhROlSfjVAevtvP2M27t9oNFdxyj6VIOu3l9L7mcYmEQnhVx86CyfP7AIATFJqucimN9WcE+FgwGoWz5TnDUvd4/E7YiGrBLkbyazOsk+N8HOOegKAx8zHDwJ4u/l4NYBbhRAZIcQOAFsBlBbZa4SM4IlHAsjlHbJPNZ6/GcJZTbef3159dsWvZerDqxf2WAW81EgteZ5EOaKk7nTEQhjOaJ55NsmcbnXtYsaGn8Z/I4A3m4/fCWCO+XgWgN3K6/aY24ogoquJaC0Rre3r6xvzgHKm1BMPBy0JSC44xSNVeHkhb+P/3ctPx81X2iOFls+bhLMWTBnVmJn68fqTpgEA+lNGDgeHbdafjlgIQhhG3o1UVkOCb8o1YUxnNxE9REQbXf6tBvABANcS0ToAHQBkxxA3Jdz1Ni+EuFkIsUIIsaK3t3csQwVQiPaJh4PIC8PDS5tJI9Us7skoHjfZ559Om2lNaVnyn1j86L0rEAkGrBwONv71pz1qzMS8dP+0Un6dGRtjmj8JIVaVeckbAICIFgOQMXl7UJgFAMBsAPvGMo5Kkd6+nM7n9EJZ2aqMf7Ay2UeWTJ6IVTNblVhYNf7sYdYbmWQ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     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": "Episode: 550, Total steps: 999, Total reward: -59.747"
    },
    {
     "output_type": "display_data",
     "data": {
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    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": "Episode: 600, Total steps: 999, Total reward: -43.419"
    },
    {
     "output_type": "display_data",
     "data": {
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "agent = PPO(env=env, \n",
    "            hidden=16,\n",
    "            policy_clip=0.2,\n",
    "            entropy_coef=0.1,\n",
    "            value_coef=0.5,\n",
    "            std_init=0.2,\n",
    "            gamma=0.99,\n",
    "            lambda_=0.95,\n",
    "            episodes=600,\n",
    "            batch_size=32, \n",
    "            actor_lr=1e-4,\n",
    "            critic_lr=3e-4,\n",
    "            seed=42\n",
    "            )\n",
    "agent.play()"
   ]
  }
 ]
}