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  • 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.
    multiagent-env Core Features
    • Gym-like multi-agent API
    • Prebuilt cooperative and competitive scenarios
    • Customizable action and observation spaces
    • Configurable reward functions
    • Environment rendering and visualization
    • Easy integration with popular RL libraries
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