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Simple pytorch deep reinforcement algorithm implementation tested by OpenAI Gym. Easy for beginneršŸ„³.

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Reinforcement-Learning-With-Gym

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Simple PyTorch deep reinforcement algorithm implementation tested by OpenAI Gym. Easy for beginner šŸ„³.

Step 1 : Setup up environment

To install Gym, you can follow this instruction.
Since some environments like LunarLanderContinuous-V2 need fully installationļ¼Œyou may need to additionally do this:

pip install 'gym[box2d]'

Step 2 : Train your agent or test trained agent šŸ¤–

  1. By run LunarLanderContinuous-V2_train.py you can train a lunar landing robot by using SAC algorithm.
  2. By run LunarLanderContinuous-V2_test.py you can see the performance of my trained robot after about 180 episodes. lunar

Step 3 : Explore the detail of the algorithm and do your own jobšŸ‘

This implementation is well arranged and easy to understand. Enjoy your learning of Deep Reinforcement Algorithm. For more implementations you can see spinning up which I followed.

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Simple pytorch deep reinforcement algorithm implementation tested by OpenAI Gym. Easy for beginneršŸ„³.

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