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Multi-Agent Reinforcement Learning with a Hierarchy of Reward Machines

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DataCite Commons2026-01-07 更新2025-04-16 收录
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https://service.tib.eu/ldmservice/dataset/71d36126-8423-4ebf-9843-08eb6c5c4b52
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The dataset used in the paper is a hierarchical structure of propositions, where a higher-level proposition is a temporal abstraction of lower-level propositions. Each proposition represents a subtask, which is assigned to a group of agents that coordinate to make the proposition become true.
提供机构:
TIB
创建时间:
2024-12-16
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