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20242026
most citedCorruption-Robust Offline Two-Player Zero-Sum Markov Games

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cs.LG2026

Corruption-robust Offline Multi-agent Reinforcement Learning From Human Feedback

Andi Nika, Debmalya Mandal, Parameswaran Kamalaruban +2

We consider robustness against data corruption in offline multi-agent reinforcement learning from human feedback (MARLHF) under a strong-contamination model: given a dataset of…