NePPO: Near-Potential Policy Optimization for General-Sum Multi-Agent Reinforcement Learning
arXiv:2603.06977v2 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 rem…