Adversarial Latent-State Training for Robust Policies in Partially Observable Domains

arXiv:2603.07313v2 Announce Type: replace Abstract: Robustness under latent distribution shift remains challenging in partially observable reinforcement learning. We formalize a focused setting where an adversary selects a hidden initial latent distribution before the episode,...

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