Centipede Game
收藏arXiv2025-09-30 收录
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https://github.com/satchitchatterji/ShieldedMARLThesis
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资源简介：
该数据集用于测试偏最小二乘法（PLS）在引导智能体合作以实现更高集体奖励方面的效果。它还包括了展示在蜈蚣游戏中屏蔽如何影响智能体合作的结果。任务是对蜈蚣游戏中的合作策略进行分析。
This dataset is used to test the efficacy of Partial Least Squares (PLS) in guiding AI agents to cooperate and achieve higher collective rewards. It also includes results demonstrating how blocking affects agent cooperation in the Centipede Game. The task is to analyze cooperation strategies in the Centipede Game.
