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eess.SY2026
Cost-Aware Adaptive Conformal Inference for Runtime Assurance in Dynamic Environments
Taoran Wu, Jingduo Pan, Luke Ong +1
This paper addresses the problem of providing runtime assurance for systems operating online under unknown and potentially time-varying data distributions. We propose Cost-Aware Ad…
cs.LG2026
Stochastic Minimum-Cost Reach-Avoid Reinforcement Learning
Jingduo Pan, Taoran Wu, Yiling Xue +1
We study stochastic minimum-cost reach-avoid reinforcement learning, where an agent must satisfy a reach-avoid specification with probability at least while minimizing expected…
eess.SY2026
PAC Finite-Time Safety Guarantees for Stochastic Systems with Unknown Disturbance Distributions
Taoran Wu, Dominik Wagner, C. -H. Luke Ong +1
We investigate the problem of establishing finite-time probabilistic safety guarantees for discrete-time stochastic dynamical systems subject to unknown disturbance distributions,…