#Marl
Showing 6 of 6 repositories tagged #marl, ranked by stars
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL algorithms, tasks, and models while being systematically grounded in its two core tenets: reproducibility and standardization.
A framework for creating rich, 3D, Minecraft-like single and multi-agent environments for AI research. (Accepted at ICML 2025).
A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.
Develop your agent for generals.io!