Maro is a framework for **multi-agent reinforcement learning (MARL)** that provides standardized environments, algorithms, and tools to simplify the development and benchmarking of cooperative or competitive multi-agent systems. It's designed for **researchers and engineers** working on complex scenarios like traffic control, supply chain optimization, or robotics where multiple agents must learn to coordinate.
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