Zhang, Ziqian

9 publications

NeurIPS 2025 Adaptable Safe Policy Learning from Multi-Task Data with Constraint Prioritized Decision Transformer Ruiqi Xue, Ziqian Zhang, Lihe Li, Cong Guan, Lei Yuan, Yang Yu

ICLR 2025 Efficient Multi-Agent Offline Coordination via Diffusion-Based Trajectory Stitching Lei Yuan, Yuqi Bian, Lihe Li, Ziqian Zhang, Cong Guan, Yang Yu

AAAI 2025 Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion Cheng Wu, Liang Su, Chaokun Wang, Shaoyun Shi, Ziqian Zhang, Ziyang Liu, Wang Peng, Wenjin Wu, Peng Jiang

ICML 2025 Learning to Reuse Policies in State Evolvable Environments Ziqian Zhang, Bohan Yang, Lihe Li, Yuqi Bian, Ruiqi Xue, Feng Chen, Yi-Chen Li, Lei Yuan, Yang Yu

IJCAI 2024 Continual Multi-Objective Reinforcement Learning via Reward Model Rehearsal Lihe Li, Ruotong Chen, Ziqian Zhang, Zhichao Wu, Yi-Chen Li, Cong Guan, Yang Yu, Lei Yuan

ECML-PKDD 2024 Dynamics Adaptive Safe Reinforcement Learning with a Misspecified Simulator Ruiqi Xue, Ziqian Zhang, Lihe Li, Feng Chen, Yi-Chen Li, Yang Yu, Lei Yuan

TMLR 2024 One by One, Continual Coordinating with Humans via Hyper-Teammate Identification Cong Guan, Feng Chen, Ke Xue, Chunpeng Fan, Lichao Zhang, Ziqian Zhang, Pengyao Zhao, Zongzhang Zhang, Chao Qian, Lei Yuan, Yang Yu

UAI 2023 Fast Teammate Adaptation in the Presence of Sudden Policy Change Ziqian Zhang, Lei Yuan, Lihe Li, Ke Xue, Chengxing Jia, Cong Guan, Chao Qian, Yang Yu

AAAI 2023 Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers Lei Yuan, Ziqian Zhang, Ke Xue, Hao Yin, Feng Chen, Cong Guan, Lihe Li, Chao Qian, Yang Yu