Strategically Robust Multi-Agent Reinforcement Learning with Linear Function Approximation
arXiv:2603.09208v1 Announce Type: new Abstract: Provably efficient and robust equilibrium computation in general-sum Markov games remains a core challenge in multi-agent reinforcement learning. Nash equilibrium …
Jake Gonzales, Max Horwitz, Eric Mazumdar, Lillian J. Ratliff
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