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papersSEP 10 04:00 UTC

Safe Learning Under Irreversible Dynamics via Asking for Help

A new arXiv paper tackles a weakness of learning algorithms with formal regret guarantees, which typically require exploring every possible behavior—a serious risk when some mistakes cannot be undone. The proposed approach instead lets the agent request assistance from a mentor, enabling learning to proceed safely in environments with irreversible outcomes.

safety/reinforcement-learning/agents