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LiteMultiAgent is a lightweight and extensible multi-agent reinforcement learning (MARL) platform designed for rapid experimentation. It allows researchers to design and test coordination, competition, and collaboration scenarios in simulated environments.
Features
- Lightweight multi-agent RL framework optimized for quick setup and experimentation
- Supports customizable environments for a variety of multi-agent scenarios
- Includes basic reinforcement learning algorithms for multi-agent setups
- Provides tools for agent communication and interaction
- Facilitates training and evaluation of cooperative and competitive agents
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License
MIT LicenseFollow LiteMultiAgent
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