Repository dedicated to developing a robust and modular framework for Multi-Agent Reinforcement Learning (MARL) algorithms.
-
Updated
Mar 3, 2024 - Python
Repository dedicated to developing a robust and modular framework for Multi-Agent Reinforcement Learning (MARL) algorithms.
Clean, documented implementations of PPO-based algorithms for cooperative multi-agent reinforcement learning, focusing on SMAC environments. Features MLP and RNN-based MAPPO and HAPPO with various techniques.
Add a description, image, and links to the smacv2 topic page so that developers can more easily learn about it.
To associate your repository with the smacv2 topic, visit your repo's landing page and select "manage topics."