Farama-Foundation/MOMAland

Multi-objective Gymnasium environments for reinforcement learning

Multi-Objective Reinforcement Learning algorithms implementations.

A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities

🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX

A suite of test scenarios for multi-agent reinforcement learning.

A toolkit for developing and comparing reinforcement learning algorithms.

A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

Multi-Agent Reinforcement Learning with JAX

An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments