4 papers
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…
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…
Efficient Verification and Falsification of ReLU Neural Barrier Certificates
Dejin Ren, Yiling Xue, Taoran Wu +1
Barrier certificates play an important role in verifying the safety of continuous-time systems, including autonomous driving, robotic manipulators and other critical applications.…
Controlled Reach-avoid Set Computation for Discrete-time Polynomial Systems via Convex Optimization
Taoran Wu, Yiling Xue, Dejin Ren +3
This paper addresses the computation of controlled reach-avoid sets (CRASs) for discrete-time polynomial systems subject to control inputs. A CRAS is a set encompassing initial sta…