MACDA

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.

A collection of research papers and software related to explainability in graph machine learning.

Interpretability and explainability of data and machine learning models

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.

Model explainability that works seamlessly with ? transformers. Explain your transformers model in just 2 lines of code.

One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)

Explainability for Vision Transformers