5 papers
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…
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…
PAC One-Step Safety Certification for Black-Box Discrete-Time Stochastic Systems
Taoran Wu, Dominik Wagner, Jingduo Pan +3
This paper investigates the problem of safety certification for black-box discrete-time stochastic systems, where both the system dynamics and disturbance distributions are unknown…
Convex Computations for Controlled Safety Invariant Sets of Black-box Discrete-time Dynamical Systems
Taoran Wu, Yiling Xue, Jingduo Pan +3
Identifying controlled safety invariant sets (CSISs) is essential for safety-critical systems. This paper addresses the problem of computing CSISs for black-box discrete-time syste…
Minimax-optimal estimation for sparse multi-reference alignment with collision-free signals
Subhro Ghosh, Soumendu Sundar Mukherjee, Jing Bin Pan
The Multi-Reference Alignment (MRA) problem aims at the recovery of an unknown signal from repeated observations under the latent action of a group of cyclic isometries, in the pre…