Zhongjian Qiao

17 papers A* 3A 1Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cross-Domain Offline Policy Adaptation via Selective Transition Correction. CoRR Mengbei Yan, Jiafei Lyu, Shengjie Sun, Zhongjian Qiao, Jingwen Yang, Zichuan Lin, Deheng Ye, Xiu Li
2026	J	`jnl`	Deep Dense Exploration for LLM Reinforcement Learning via Pivot-Driven Resampling. CoRR Yiran Guo, Zhongjian Qiao, Yingqi Xie, Jie Liu, Dan Ye, Ruiqing Zhang, Shuang Qiu, Lijie Xu
2026	J	`jnl`	Model-based Offline RL via Robust Value-Aware Model Learning with Implicitly Differentiable Adaptive Weighting. CoRR Zhongjian Qiao, Jiafei Lyu, Boxiang Lyu, Yao Shu, Siyang Gao, Shuang Qiu
2026	J	`jnl`	Temporal Difference Learning with Constrained Initial Representations. CoRR Jiafei Lyu, Jingwen Yang, Zhongjian Qiao, Runze Liu, Zeyuan Liu, Deheng Ye, Zongqing Lu, Xiu Li
2025	J	`jnl`	Cross-Domain Offline Policy Adaptation with Dynamics- and Value-Aligned Data Filtering. CoRR Zhongjian Qiao, Rui Yang, Jiafei Lyu, Chenjia Bai, Xiu Li, Zhuoran Yang, Siyang Gao, Shuang Qiu
2025	A*	`conf`	Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint. ICLR Jiafei Lyu, Mengbei Yan, Zhongjian Qiao, Runze Liu, Xiaoteng Ma, Deheng Ye, Jingwen Yang, Zongqing Lu, Xiu Li
2025	J	`jnl`	Dual-Robust Cross-Domain Offline Reinforcement Learning Against Dynamics Shifts. CoRR Zhongjian Qiao, Rui Yang, Jiafei Lyu, Xiu Li, Zhongxiang Dai, Zhuoran Yang, Siyang Gao, Shuang Qiu
2025	A*	`conf`	SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning. AAAI Zhongjian Qiao, Jiafei Lyu, Kechen Jiao, Qi Liu, Xiu Li
2025	J	`jnl`	Sample-Efficient Policy Constraint Offline Deep Reinforcement Learning based on Sample Filtering. CoRR Yuanhao Chen, Qi Liu, Pengbin Chen, Zhongjian Qiao, YanJie Li
2025	A*	`conf`	TCPO: Thought-Centric Preference Optimization for Effective Embodied Decision-making. EMNLP Kechen Jiao, Zhirui Fang, Jiahao Liu, Bei Li, Qifan Wang, Xinyu Liu, Junhao Ruan, Zhongjian Qiao, Yifan Zhu, Yaxin Xu, Jingang Wang, Xiu Li
2025	J	`jnl`	TCPO: Thought-Centric Preference Optimization for Effective Embodied Decision-making. CoRR Kechen Jiao, Zhirui Fang, Jiahao Liu, Bei Li, Qifan Wang, Xinyu Liu, Junhao Ruan, Zhongjian Qiao, Yifan Zhu, Yaxin Xu, Jingang Wang, Xiu Li
2024	—	`conf`	Logarithmic Function Matters Policy Gradient Deep Reinforcement Learning. DAI Qi Liu, Jingxiang Guo, Zhongjian Qiao, Pengbin Chen, Jinxuan Zhu, Yanjie Li
2024	A	`conf`	Mind the Model, Not the Agent: The Primacy Bias in Model-Based RL. ECAI Zhongjian Qiao, Jiafei Lyu, Xiu Li
2024	J	`jnl`	SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning. CoRR Zhongjian Qiao, Jiafei Lyu, Kechen Jiao, Qi Liu, Xiu Li
2023	J	`jnl`	The primacy bias in Model-based RL. CoRR Zhongjian Qiao, Jiafei Lyu, Xiu Li
2022	—	`conf`	DAGE: Dropout with Action Gradient Estimator for Continuous Control. PRICAI (1) Zhongjian Qiao, Kechen Jiao
2022	—	`conf`	PRAG: Periodic Regularized Action Gradient for Efficient Continuous Control. PRICAI (3) Xihui Li, Zhongjian Qiao, Aicheng Gong, Jiafei Lyu, ChengHui Yu, Jiangpeng Yan, Xiu Li