明智的人 发表于 2025-3-23 12:05:55
Heterogeneity Breaks the Game: Evaluating Cooperation-Competition with Multisets of Agentsboth. Several evaluation approaches have been introduced in some of these scenarios, from homogeneous competitive multi-agent systems, using a simple average or sophisticated ranking protocols, to completely heterogeneous cooperative scenarios, using the Shapley value. However, we lack a general evaMercurial 发表于 2025-3-23 14:13:32
Constrained Multiagent Reinforcement Learning for Large Agent Populationronment, and scalability challenges. While several scalable multiagent RL (MARL) methods have been proposed, relatively few approaches exist for large scale . MARL settings. To address this, we first formulate the constrained MARL problem in a collective multiagent setting where interactions among a使服水土 发表于 2025-3-23 21:44:41
http://reply.papertrans.cn/63/6206/620512/620512_13.png臭名昭著 发表于 2025-3-23 23:54:45
Team-Imitate-Synchronize for Solving Dec-POMDPs model of the environment struggle with tasks that require sequences of collaborative actions, while Dec-POMDP algorithms that use such models to compute near-optimal policies, scale poorly. In this paper, we suggest the Team-Imitate-Synchronize (TIS) approach, a heuristic, model-based method for soVasoconstrictor 发表于 2025-3-24 06:21:57
http://reply.papertrans.cn/63/6206/620512/620512_15.pngCytokines 发表于 2025-3-24 06:47:57
MAVIPER: Learning Decision Tree Policies for Interpretable Multi-agent Reinforcement Learnings to interpret and understand. On the other hand, existing work on interpretable reinforcement learning (RL) has shown promise in extracting more interpretable decision tree-based policies from neural networks, but only in the single-agent setting. To fill this gap, we propose the first set of algordiathermy 发表于 2025-3-24 14:36:40
http://reply.papertrans.cn/63/6206/620512/620512_17.pngIntuitive 发表于 2025-3-24 16:30:46
http://reply.papertrans.cn/63/6206/620512/620512_18.png凝视 发表于 2025-3-24 22:04:14
Chengyin Li,Zheng Dong,Nathan Fisher,Dongxiao Zhu einem Grundstock von Computern und Internetanschlüssen ausgestattet, und viele Kantone haben den verstärkten Einbezug digitaler Medien in den Unterricht auf ihre Agenda gesetzt (vgl. SFIB, 2008). Ein wichtiges Element dieser Anstrengungen war u. a. die Einrichtung der nationalen Lernplattform educa谄媚于人 发表于 2025-3-25 01:04:21
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