Toward Online Robust Zero-Sum Markov Games with Function Approximation.

arXiv:2610.26286v1 Announce Type: cross Abstract: Online robust zero-sum Markov games pose a coupled operator-learning and game-solving problem: from nominal interaction data, the learner must recover a worst-case minimax Bellman operator while maintaining str