Shypd.aiThe largest open index of AI toolsMulti-Agent-Reinforcement-Learning-Environment provides Python environments for multi-agent reinforcement learning. It includes single-agent versions for algorithm testing and offers documentation for each environment.
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Multi-Agent-Reinforcement-Learning-Environment is an open-source GitHub repository offering a collection of Python environments designed for multi-agent reinforcement learning research and development. The repository includes various toy problems such as Multi Agent Soccer Game, Multi Agent Rescue, Multi Agent Cleaner, and Multi Agent Move Box, among others. It also provides single-agent versions of some environments, making it suitable for testing and developing reinforcement learning algorithms. Each environment comes with dedicated documentation in PDF format. The environments are designed with a standard assumption of synchronous agent operation and provide clear member functions for resetting, stepping through actions, and observing states, making them accessible for researchers and developers in the field.
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