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NePPO: Near-Potential Policy Optimization for General-Sum Multi-Agent Reinforcement Learning.

arXiv:2603.06977v3 Announce Type: replace-cross Abstract: Multi-agent reinforcement learning (MARL) is increasingly used to design learning-enabled agents that interact in shared environments. However, training MARL algorithms in general-sum games remains chal

arXiv cs.AIResearch source·