The Multi-Agent RLRM (Reinforcement Learning with Reward Machines) Framework is a library designed to facilitate the formulation of multi-agent problems and solve them through reinforcement learning. The framework supports the integration of Reward Machines (RMs), providing a modular and flexible structure for defining complex tasks.
python machine-learning reinforcement-learning openai gym reinforcement-learning-algorithms multiagent-reinforcement-learning pettingzoo llm reward-machines multiagent-rl-rm
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Updated
Jul 1, 2026 - Python