Shypd.aiThe largest open index of AI toolsmultiagent-competition is a Research & Education tool that provides code for environments used in the paper "Emergent Complexity via Multi-agent Competition." It facilitates research into multi-agent reinforcement learning and competitive environment simulations.
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multiagent-competition offers the foundational code for environments detailed in the paper "Emergent Complexity via Multi-agent Competition." This tool is designed for researchers and academics focusing on multi-agent reinforcement learning, providing a platform to simulate and study emergent behaviors in competitive scenarios. It includes agent policies for various environments such as run-to-goal, you-shall-not-pass, sumo, and kick-and-defend tasks. The repository, though archived and read-only, serves as a valuable resource for understanding and replicating the experiments described in the associated paper, allowing for in-depth analysis of complex interactions between AI agents.
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