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Multi-Agent Policy Transfer via Task Relationship Modeling.

, , , , , , , и . CoRR, (2022)

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Zhang Zhang

Meng Zhang

Methods and implementations of road-network matching. TU München, (2009)

Xianghui Zhang

Gang Zhang

Le Zhang

 

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An Optimal Online Method of Selecting Source Policies for Reinforcement Learning., и . AAAI, стр. 3562-3570. AAAI Press, (2018)Multi-Agent Learning with Policy Prediction., и . AAAI, стр. 927-934. AAAI Press, (2010)Context-Based Concurrent Experience Sharing in Multiagent Systems., , , и . AAMAS, стр. 1544-1546. ACM, (2017)An Optimal Online Method of Selecting Source Policies for Reinforcement Learning., и . CoRR, (2017)Offline Meta Reinforcement Learning with In-Distribution Online Adaptation., , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 36626-36669. PMLR, (2023)Symmetry-Aware Robot Design with Structured Subgroups., , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 8334-8355. PMLR, (2023)Individual Reward Assisted Multi-Agent Reinforcement Learning., , , , , , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 23417-23432. PMLR, (2022)Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents., , , , , и . AAMAS, стр. 2282-2284. International Foundation for Autonomous Agents and Multiagent Systems, (2019)The Provable Benefit of Unsupervised Data Sharing for Offline Reinforcement Learning., , , и . ICLR, OpenReview.net, (2023)A Survey on Transformers in Reinforcement Learning., , , , , и . Trans. Mach. Learn. Res., (2023)