FUSC
发表于 2025-3-26 21:56:15
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营养
发表于 2025-3-27 04:51:30
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创造性
发表于 2025-3-27 06:13:18
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Juvenile
发表于 2025-3-27 13:12:59
Coupling User Preference with External Rewards to Enable Driver-centered and Resource-aware EV Chargndation approach that would allow each EV driver to strike an optimal balance between the user preference (historical charging pattern) and the external reward (driving distance and wait time). Experimental results on two real-world datasets demonstrate the unique features and superior performance of our approach to the competing methods.
adduction
发表于 2025-3-27 15:22:25
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oblique
发表于 2025-3-27 19:47:55
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insurgent
发表于 2025-3-27 23:26:54
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甜食
发表于 2025-3-28 03:59:52
DistSPECTRL: Distributing Specifications in Multi-Agent Reinforcement Learning Systemses that allow agents to operate in a coordination-free manner for local objectives, while using a decentralized communication protocol for enforcing global ones. Experimental results support our claim that sophisticated multi-agent distributed planning problems can be effectively realized using specification-guided learning. Code is provided at ..
Infirm
发表于 2025-3-28 09:37:35
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EXPEL
发表于 2025-3-28 13:18:21
https://doi.org/10.1007/978-3-031-26412-2artificial intelligence; autonomous agents; computer networks; computer security; computer systems; corre