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cs.LG2026
Residual Visual Credit Optimization: Conserved Evidence Routing for Multimodal Reinforcement Learning
Lin Qiu, Yao Liu, Diyi Hu +6
Reinforcement learning with verifiable rewards scales multimodal reasoning, but an outcome reward says how much a trajectory is worth, not how that value should be spread over the…
cs.LG2026
Wireless Communication Enhanced Value Decomposition for Multi-Agent Reinforcement Learning
Diyi Hu, Bhaskar Krishnamachari
Cooperation in multi-agent reinforcement learning (MARL) benefits from inter-agent communication, yet most approaches assume idealized channels and existing value decomposition met…