Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa
My attempt to make basic RL projects as hassle-free as possible, providing a suite of classes that implement all the boilerplate code, leaving all the creative parts up to you
This fork adds multi-agent social dilemma environments in Gym: CoinGame, (Iterated) Prisonner Dilemma, Stag Hunt, Chicken, Matching Pennies. Gym: A toolkit for developing and comparing reinforcement learning algorithms.