Federated MARL-Gym-Environment/Multi-Environment

𝙵𝚎𝚍𝚎𝚛𝚊𝚝𝚎𝚍 𝙼𝙰𝚁𝙻-𝙶𝚢𝚖: We introduce a custom multi-agent reinforcement learning environment built with Gymnasium and Pygame, designed for evaluating federated RL (FRL) algorithms. The environment models a grid world where multiple agents—such as robots—navigate to accomplish spatially distributed tasks, like reaching delivery points.

Install

pip install -i https://test.pypi.org/simple/ fed-marl-single

pip install --upgrade --no-cache-dir -i https://test.pypi.org/simple/ "fed-marl-multi==0.2.2"