SEMARL

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

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

A collection of MARL benchmarks based on TorchRL

Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm