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cs.LG2026
Safe Score Matching: Diffusion Policies with Hamilton-Jacobi Reachability for Online Safe Reinforcement Learning
Boyang Li, Matthew Kim, Sylvia Lee Herbert
Online safe reinforcement learning (RL) seeks policies that maximize reward while satisfying safety constraints. A popular line of research in safe RL relaxes safety to a soft expe…
cs.LG2026
Constrained Flow Policy Updates: A Generalized Schrödinger Bridge View
Boyang Li, Matthew Kim, Sylvia Herbert
Online safe reinforcement learning (RL) seeks policies that maximize reward while satisfying safety constraints. Reward and safety can induce multimodal action distributions, chall…