This project utilised several artificial intelligence / learning algorithms to naviate an agent (Hex-bot) through a hexagonal map.
Using Various Reinforcement Learning / Searching algorithms to navigate an agent through various hexagonal maps The respective README files will explain how to run the system, and visualise how the algorithms change the bot's trajectory
A1: UCS and A* Search Algorithms
A2: Markov Decision Processes using Value and Policy Iteration
A3: MDPs using Reinforcement learning algorithms Q-Learning and SARSA