Tutorials

Multi-Agent Deep Reinforcement Learning in 13 Lines of Code Using PettingZoo

https://towardsdatascience.com/multi-agent-deep-reinforcement-learning-in-15-lines-of-code-using-pettingzoo-e0b963c0820b

A very beginner friendly introduction to learning the Pistonball environment using SuperSuit and Stable Baselines 3

Learning Tic-Tac-Toe for Beginners in PettingZoo

https://nbviewer.jupyter.org/github/gsverhoeven/gt_rl_course/blob/master/week_8/marl_tictactoe.ipynb

https://nbviewer.jupyter.org/github/gsverhoeven/gt_rl_course/blob/master/week_8/marl_tictactoe_pt2.ipynb

An example-based introduction to the PettingZoo API for beginners, that then shows users how to use tabular Q Learning for self play in the Tic Tac Toe environment.

Using PettingZoo with RLlib for Multi-Agent Deep Reinforcement Learning

https://towardsdatascience.com/using-pettingzoo-with-rllib-for-multi-agent-deep-reinforcement-learning-5ff47c677abd

A tutorial on learning PettingZoo multi-agent environments with the RLlib reinforcement learning library, intended for those generally new to RLlib but with nontrivial experimence in reinforcement learning