Li, Wenchao

13 publications

ICLR 2025 Constraint-Conditioned Actor-Critic for Offline Safe Reinforcement Learning Zijian Guo, Weichao Zhou, Shengao Wang, Wenchao Li

NeurIPS 2025 HMARL-CBF – Hierarchical Multi-Agent Reinforcement Learning with Control Barrier Functions for Safety-Critical Autonomous Systems H M Sabbir Ahmad, Ehsan Sabouni, Alexander Wasilkoff, Param Budhraja, Zijian Guo, Songyuan Zhang, Chuchu Fan, Christos Cassandras, Wenchao Li

NeurIPS 2025 One Subgoal at a Time: Zero-Shot Generalization to Arbitrary Linear Temporal Logic Requirements in Multi-Task Reinforcement Learning Zijian Guo, İlker Işık, H M Sabbir Ahmad, Wenchao Li

AAAI 2024 REGLO: Provable Neural Network Repair for Global Robustness Properties Feisi Fu, Zhilu Wang, Weichao Zhou, Yixuan Wang, Jiameng Fan, Chao Huang, Qi Zhu, Xin Chen, Wenchao Li

NeurIPS 2024 Rethinking Inverse Reinforcement Learning: From Data Alignment to Task Alignment Weichao Zhou, Wenchao Li

ICML 2024 Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning Zijian Guo, Weichao Zhou, Wenchao Li

NeurIPSW 2023 Universal Trojan Signatures in Reinforcement Learning Manoj Acharya, Weichao Zhou, Anirban Roy, Xiao Lin, Wenchao Li, Susmit Jha

ICML 2022 A Hierarchical Bayesian Approach to Inverse Reinforcement Learning with Symbolic Reward Machines Weichao Zhou, Wenchao Li

ICML 2022 DRIBO: Robust Deep Reinforcement Learning via Multi-View Information Bottleneck Jiameng Fan, Wenchao Li

AAAI 2022 Programmatic Reward Design by Example Weichao Zhou, Wenchao Li

NeurIPSW 2022 REGLO: Provable Neural Network Repair for Global Robustness Properties Feisi Fu, Zhilu Wang, Jiameng Fan, Yixuan Wang, Chao Huang, Xin Chen, Qi Zhu, Wenchao Li

ICLR 2022 Sound and Complete Neural Network Repair with Minimality and Locality Guarantees Feisi Fu, Wenchao Li

AAAI 2021 Adversarial Training and Provable Robustness: A Tale of Two Objectives Jiameng Fan, Wenchao Li