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Multi-Agent Concentrative Coordination with Decentralized Task Representation.

, , , , , , , , and . IJCAI, page 599-605. ijcai.org, (2022)

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Efficient Multiagent Policy Optimization Based on Weighted Estimators in Stochastic Cooperative Environments., , , , and . J. Comput. Sci. Technol., 35 (2): 268-280 (2020)Efficient policy detecting and reusing for non-stationarity in Markov games., , , , , , and . Auton. Agents Multi Agent Syst., 35 (1): 2 (2021)Monte-Carlo Tree Search for Policy Optimization., , , and . CoRR, (2019)Language Model Self-improvement by Reinforcement Learning Contemplation., , , , , , and . CoRR, (2023)Attention-Guided Contrastive Role Representations for Multi-Agent Reinforcement Learning., , , , , and . CoRR, (2023)ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning., , , , , and . AAAI, page 12127-12135. AAAI Press, (2024)Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations., , , and . AAAI, page 17132-17140. AAAI Press, (2024)Model-Based Offline Weighted Policy Optimization (Student Abstract)., , and . AAAI, page 16392-16393. AAAI Press, (2023)PLEASE: Palm Leaf Search for POMDPs with Large Observation Spaces., , , , and . SOCS, page 238-239. AAAI Press, (2015)Weighted Double Q-learning., , and . IJCAI, page 3455-3461. ijcai.org, (2017)