ML Anthology

Guo, Zijian

12 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
DMLR 2024 Datasets and Benchmarks for Offline Safe Reinforcement Learning Zuxin Liu, Zijian Guo, Haohong Lin, Yihang Yao, Jiacheng Zhu, Zhepeng Cen, Hanjiang Hu, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao
ICML 2024 Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning Zijian Guo, Weichao Zhou, Wenchao Li
ICML 2023 Constrained Decision Transformer for Offline Safe Reinforcement Learning Zuxin Liu, Zijian Guo, Yihang Yao, Zhepeng Cen, Wenhao Yu, Tingnan Zhang, Ding Zhao
ICLR 2023 On the Robustness of Safe Reinforcement Learning Under Observational Perturbations Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Jie Tan, Bo Li, Ding Zhao
JMLR 2023 Surrogate Assisted Semi-Supervised Inference for High Dimensional Risk Prediction Jue Hou, Zijian Guo, Tianxi Cai
ICML 2023 Towards Robust and Safe Reinforcement Learning with Benign Off-Policy Data Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Yihang Yao, Hanjiang Hu, Ding Zhao
NeurIPSW 2022 On the Robustness of Safe Reinforcement Learning Under Observational Perturbations Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Jie Tan, Bo Li, Ding Zhao
JMLR 2021 Inference for the Case Probability in High-Dimensional Logistic Regression Zijian Guo, Prabrisha Rakshit, Daniel S. Herman, Jinbo Chen
JMLR 2016 Control Function Instrumental Variable Estimation of Nonlinear Causal Effect Models Zijian Guo, Dylan S. Small