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cs.AI2026
Escaping Local Views: Discovering Latent Concepts for Interpretable Multi-Agent Reinforcement Learning
Yijie Sun, Sanquan Sun, Yanda Zhu +3
Efficient cooperation is challenging due to the usual partial observability of each agent in multi-agent reinforcement learning. Recurrent networks encode local interaction histori…
cs.AI2025
Conditional Diffusion Model for Multi-Agent Dynamic Task Decomposition
Yanda Zhu, Yuanyang Zhu, Daoyi Dong +2
Task decomposition has shown promise in complex cooperative multi-agent reinforcement learning (MARL) tasks, which enables efficient hierarchical learning for long-horizon tasks in…