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eess.SY2026
Safe Policy Optimization via Control Barrier Function-based Safety Filters
Yiting Chen, Pol Mestres, Emiliano Dall'Anese +1
Control barrier function (CBF)-based safety filters provide a systematic way to enforce state constraints, but they can significantly alter the closed-loop dynamics induced by a no…
eess.SY2025
Off-Policy Reinforcement Learning with Anytime Safety Guarantees via Robust Safe Gradient Flow
Pol Mestres, Arnau Marzabal, Jorge Cortés
This paper considers the problem of solving constrained reinforcement learning (RL) problems with anytime guarantees, meaning that the algorithmic solution must yield a constraint-…