Zhongjian Qiao

According to our database, Zhongjian Qiao authored at least 16 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Unifying Value Alignment and Assignment in Cross-Domain Offline Reinforcement Learning with Heterogeneous Datasets.

Zhongjian Qiao, Jiafei Lyu, Chenjia Bai, Peisong Wang, Siyang Gao, Shuang Qiu

CoRR, May, 2026

Model-based Offline RL via Robust Value-Aware Model Learning with Implicitly Differentiable Adaptive Weighting.

Zhongjian Qiao, Jiafei Lyu, Boxiang Lyu, Yao Shu, Siyang Gao, Shuang Qiu

CoRR, March, 2026

Deep Dense Exploration for LLM Reinforcement Learning via Pivot-Driven Resampling.

Yiran Guo, Zhongjian Qiao, Yingqi Xie, Jie Liu, Dan Ye, Ruiqing Zhang, Shuang Qiu, Lijie Xu

CoRR, February, 2026

Cross-Domain Offline Policy Adaptation via Selective Transition Correction.

Mengbei Yan, Jiafei Lyu, Shengjie Sun, Zhongjian Qiao, Jingwen Yang, Zichuan Lin, Deheng Ye, Xiu Li

CoRR, February, 2026

Temporal difference learning with constrained initial representations.

Jiafei Lyu, Jingwen Yang, Zhongjian Qiao, Runze Liu, Zeyuan Liu, Deheng Ye, Zongqing Lu, Xiu Li

Inf. Sci., 2026

2025

Sample-Efficient Policy Constraint Offline Deep Reinforcement Learning based on Sample Filtering.

Yuanhao Chen, Qi Liu, Pengbin Chen, Zhongjian Qiao, Yanjie Li

CoRR, December, 2025

Dual-Robust Cross-Domain Offline Reinforcement Learning Against Dynamics Shifts.

Zhongjian Qiao, Rui Yang, Jiafei Lyu, Xiu Li, Zhongxiang Dai, Zhuoran Yang, Siyang Gao, Shuang Qiu

CoRR, December, 2025

Cross-Domain Offline Policy Adaptation with Dynamics- and Value-Aligned Data Filtering.

Zhongjian Qiao, Rui Yang, Jiafei Lyu, Chenjia Bai, Xiu Li, Zhuoran Yang, Siyang Gao, Shuang Qiu

CoRR, December, 2025

Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint.

Jiafei Lyu, Mengbei Yan, Zhongjian Qiao, Runze Liu, Xiaoteng Ma, Deheng Ye, Jingwen Yang, Zongqing Lu, Xiu Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

TCPO: Thought-Centric Preference Optimization for Effective Embodied Decision-making.

Kechen Jiao, Zhirui Fang, Jiahao Liu, Bei Li, Qifan Wang, Xinyu Liu, Junhao Ruan, Zhongjian Qiao, Yifan Zhu, Yaxin Xu, Jingang Wang, Xiu Li

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning.

Zhongjian Qiao, Jiafei Lyu, Kechen Jiao, Qi Liu, Xiu Li

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Mind the Model, Not the Agent: The Primacy Bias in Model-Based RL.

Zhongjian Qiao, Jiafei Lyu, Xiu Li

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Logarithmic Function Matters Policy Gradient Deep Reinforcement Learning.

Qi Liu, Jingxiang Guo, Zhongjian Qiao, Pengbin Chen, Jinxuan Zhu, Yanjie Li

Proceedings of the 2024 6th International Conference on Distributed Artificial Intelligences, 2024

2023

The primacy bias in Model-based RL.

Zhongjian Qiao, Jiafei Lyu, Xiu Li

CoRR, 2023

2022

DAGE: Dropout with Action Gradient Estimator for Continuous Control.

Zhongjian Qiao, Kechen Jiao

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2022

PRAG: Periodic Regularized Action Gradient for Efficient Continuous Control.

Xihui Li, Zhongjian Qiao, Aicheng Gong, Jiafei Lyu, ChengHui Yu, Jiangpeng Yan, Xiu Li

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022