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Interactive Multi-Agent Reinforcement Learning Environment for the board game Gobblet using PettingZoo.

Home Page: https://elliottower.github.io/gobblet-rl/

License: MIT License

Python 99.87% Shell 0.13%
pettingzoo pygame multiagent-reinforcement-learning rllib tianshou

gobblet-rl's Introduction

Hi there 👋

I'm Elliot. I enjoy creating tools for machine learning research, particularly Reinforcement Learning.

My personal interests include photography (see my portfolio site), travel, skiing, and music (last.fm, spotify). I previously competed professionally in eSports, and now volunteer as a photographer for in-person events (see my blog).

🤖 Recent project: implementing two of my favorite board games and training RL agents: gobblet-rl and cathedral-rl.

💥 A live version of Gobblet running in the browser can be viewed here (using WebAssembly, see my tutorial for details).

Farama Foundation

🚀 I am the Project manager for the PettingZoo library, the standard API for Multi-Agent Reinforcement Learning (MARL).

To learn more, see Announcing the Farama Foundation and the Farama Team.

📫 How to reach me:

Send me an Email Discord profile Connect on LinkedIn Twitter profile

📄 Portfolio site: elliottower.github.io

📸 Photography site: elliottower.com

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