Comprehensive action observation spaces Tools for Every Need

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action observation spaces

  • A Python-based multi-agent reinforcement learning environment with a gym-like API supporting customizable cooperative and competitive scenarios.
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    What is multiagent-env?
    multiagent-env is an open-source Python library designed to simplify the creation and evaluation of multi-agent reinforcement learning environments. Users can define both cooperative and adversarial scenarios by specifying agent count, action and observation spaces, reward functions, and environmental dynamics. It supports real-time visualization, configurable rendering, and easy integration with Python-based RL frameworks such as Stable Baselines and RLlib. The modular design allows rapid prototyping of new scenarios and straightforward benchmarking of multi-agent algorithms.
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