Zijian Guo - RankMe

14 papers A* 6Journal 8

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Constraint-Conditioned Actor-Critic for Offline Safe Reinforcement Learning. ICLR Zijian Guo, Weichao Zhou, Shengao Wang, Wenchao Li
2025	J	`jnl`	Hierarchical Multi-Agent Reinforcement Learning with Control Barrier Functions for Safety-Critical Autonomous Systems. CoRR H. M. Sabbir Ahmad, Ehsan Sabouni, Alexander Wasilkoff, Param Budhraja, Zijian Guo, Songyuan Zhang, Chuchu Fan, Christos G. Cassandras, Wenchao Li
2025	J	`jnl`	One Subgoal at a Time: Zero-Shot Generalization to Arbitrary Linear Temporal Logic Requirements in Multi-Task Reinforcement Learning. CoRR Zijian Guo, Ilker Isik, H. M. Sabbir Ahmad, Wenchao Li
2024	J	`jnl`	Datasets and Benchmarks for Offline Safe Reinforcement Learning. J. Data-centric Mach. Learn. Res. Zuxin Liu, Zijian Guo, Haohong Lin, Yihang Yao, Jiacheng Zhu, Zhepeng Cen, Hanjiang Hu, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao
2024	A*	`conf`	Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning. ICML Zijian Guo, Weichao Zhou, Wenchao Li
2024	J	`jnl`	Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning. CoRR Zijian Guo, Weichao Zhou, Wenchao Li
2024	A*	`conf`	TiV-ODE: A Neural ODE-based Approach for Controllable Video Generation From Text-Image Pairs. ICRA Yucheng Xu, Nanbo Li, Arushi Goel, Zonghai Yao, Zijian Guo, Hamidreza Kasaei, Mohammadreza Kasaei, Zhibin Li
2023	A*	`conf`	Constrained Decision Transformer for Offline Safe Reinforcement Learning. ICML Zuxin Liu, Zijian Guo, Yihang Yao, Zhepeng Cen, Wenhao Yu, Tingnan Zhang, Ding Zhao
2023	J	`jnl`	Constrained Decision Transformer for Offline Safe Reinforcement Learning. CoRR Zuxin Liu, Zijian Guo, Yihang Yao, Zhepeng Cen, Wenhao Yu, Tingnan Zhang, Ding Zhao
2023	J	`jnl`	Controllable Video Generation by Learning the Underlying Dynamical System with Neural ODE. CoRR Yucheng Xu, Nanbo Li, Arushi Goel, Zijian Guo, Zonghai Yao, Hamidreza Kasaei, Mohammadreza Kasaei, Zhibin Li
2023	J	`jnl`	Datasets and Benchmarks for Offline Safe Reinforcement Learning. CoRR Zuxin Liu, Zijian Guo, Haohong Lin, Yihang Yao, Jiacheng Zhu, Zhepeng Cen, Hanjiang Hu, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao
2023	A*	`conf`	On the Robustness of Safe Reinforcement Learning under Observational Perturbations. ICLR Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Jie Tan, Bo Li, Ding Zhao
2023	A*	`conf`	Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data. ICML Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Yihang Yao, Hanjiang Hu, Ding Zhao
2022	J	`jnl`	On the Robustness of Safe Reinforcement Learning under Observational Perturbations. CoRR Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Jie Tan, Bo Li, Ding Zhao