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News/CSPO: Constraint-Sensitive Policy Optimization for Safe Reinforcement Learning
arxiv
PublishedJune 15, 2026 at 4:00 AM
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CSPO: Constraint-Sensitive Policy Optimization for Safe Reinforcement Learning

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arXiv:2606.14415v1 Announce Type: new Abstract: Safe reinforcement learning (Safe RL) aims to maximize expected return while satisfying safety constraints, typically modeled as Constrained Markov Decision Processes (CMDPs). While primal-dual methods scale well to deep RL, they often suffer from dela

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