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Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)
Automated Machine Learning with scikit-learn
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
This is the official implementation of Multi-Agent PPO (MAPPO).
ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
? A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.