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LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning.

, , , , , and . NeurIPS, (2022)

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Discriminative Experience Replay for Efficient Multi-agent Reinforcement Learning., , , and . CoRR, (2023)Q-SAT: Value Factorization with Self-Attention for Deep Multi-Agent Reinforcement Learning., , , , and . IJCNN, page 1-8. IEEE, (2023)Coach-assisted multi-agent reinforcement learning framework for unexpected crashed agents., , , , , , , and . Frontiers Inf. Technol. Electron. Eng., 23 (7): 1032-1042 (2022)DouZero+: Improving DouDizhu AI by Opponent Modeling and Coach-guided Learning., , , , and . CoG, page 127-134. IEEE, (2022)MCMARL: Parameterizing Value Function via Mixture of Categorical Distributions for Multi-Agent Reinforcement Learning., , , , , and . IEEE Trans. Games, 16 (3): 556-565 (September 2024)Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation., , , , , and . CoRR, (2022)LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning., , , , , and . NeurIPS, (2022)DIFFER: Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning., , , , and . NeurIPS, (2023)CTDS: Centralized Teacher With Decentralized Student for Multiagent Reinforcement Learning., , , , , and . IEEE Trans. Games, 16 (1): 140-150 (March 2024)Full DouZero+: Improving DouDizhu AI by Opponent Modeling, Coach-Guided Training and Bidding Learning., , , , and . IEEE Trans. Games, 16 (3): 518-529 (September 2024)