Accelerating Robot Reinforcement Learning with Samples of Different Simulation Precision. - Yong Zhao; Yuanzhao Zhai; Jie Luo; Dawei Feng; Bo Ding; Zhen Li 011 (HPCC/DSS/SmartCity/DependSys, 2021)

Decentralized Multi-Robot Collision Avoidance in Complex Scenarios With Selective Communication. - Yuanzhao Zhai; Bo Ding; Xuan Liu 001; Hongda Jia; Yong Zhao; Jie Luo (IEEE Robotics Autom. Lett., 2021)

Cloudroid Swarm: A QoS-Aware Framework for Multirobot Cooperation Offloading. - Yuanzhao Zhai; Bo Ding; Pengfei Zhang; Jie Luo (Wirel. Commun. Mob. Comput., 2021)

Pseudo Reward and Action Importance Classification for Sparse Reward Problem. - Qingtong Wu; Dawei Feng; Yuanzhao Zhai; Bo Ding; Jie Luo (ICMLC, 2022)

Exploring Policy Diversity in Parallel Actor-Critic Learning. - Yanqiang Zhang; Yuanzhao Zhai; Gongqian Zhou; Bo Ding; Dawei Feng; Songwang Liu (ICTAI, 2022)

Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration. - Zijian Gao; Kele Xu; Yiying Li; Yuanzhao Zhai; Dawei Feng; Bo Ding; XinJun Mao; Huaimin Wang (CoRR, 2022)

Self-Supervised Exploration via Temporal Inconsistency in Reinforcement Learning. - Zijian Gao; Kele Xu; Hengxing Cai; Yuanzhao Zhai; Dawei Feng; Bo Ding; XinJun Mao; Huaimin Wang (CoRR, 2022)

A Fast and Robust Solution for Common Knowledge Formation in Decentralized Swarm Robots. - Jie Luo; Xiao Shu; Yuanzhao Zhai; Xiang Fu 002; Bo Ding; Jie Xu 007 (J. Intell. Robotic Syst., 2022)

CRMRL: Collaborative Relationship Meta Reinforcement Learning for Effectively Adapting to Type Changes in Multi-Robotic System. - Hongda Jia; Yong Zhao; Yuanzhao Zhai; Bo Ding; Huaimin Wang; Qingtong Wu (IEEE Robotics Autom. Lett., 2022)

Progressive Diversifying Policy for Multi-Agent Reinforcement Learning. - Shaoqi Sun; Yuanzhao Zhai; Kele Xu; Dawei Feng; Bo Ding (ICASSP, 2023)

Diversifying Message Aggregation in Multi-Agent Communication Via Normalized Tensor Nuclear Norm Regularization. - Yuanzhao Zhai; Kele Xu; Bo Ding; Dawei Feng; Zijian Gao; Huaimin Wang (ICASSP, 2023)

COPF: Continual Learning Human Preference through Optimal Policy Fitting. - Han Zhang 025; Lin Gui 003; Yuanzhao Zhai; Hui Wang 030; Yu Lei; Ruifeng Xu 001 (CoRR, 2023)

Optimistic Model Rollouts for Pessimistic Offline Policy Optimization. - Yuanzhao Zhai; Yiying Li; Zijian Gao; Xudong Gong; Kele Xu; Dawei Feng; Bo Ding; Huaimin Wang (AAAI, 2024)

Nuclear-Norm Maximization for Low-Rank Updates. - Huanxi Liu; Yuanzhao Zhai; Kele Xu; Dawei Feng; Yiying Li (ICASSP, 2024)

Iterative Regularized Policy Optimization with Imperfect Demonstrations. - Xudong Gong; Dawei Feng; Kele Xu; Yuanzhao Zhai; Chengkang Yao; Weijia Wang; Bo Ding; Huaimin Wang (ICML, 2024)

Uncertainty-Penalized Reinforcement Learning from Human Feedback with Diverse Reward LoRA Ensembles. - Yuanzhao Zhai; Han Zhang 025; Yu Lei; Yue Yu 001; Kele Xu; Dawei Feng; Bo Ding; Huaimin Wang (CoRR, 2024)

Online Self-Preferring Language Models. - Yuanzhao Zhai; Zhuo Zhang 007; Kele Xu; Hanyang Peng; Yue Yu 001; Dawei Feng; Cheng Yang 004; Bo Ding; Huaimin Wang (CoRR, 2024)

C3F: Constant Collaboration and Communication Framework for Graph-Representation Dynamic Multi-Robotic Systems. - Hongda Jia; Zijian Gao; Cheng Yang; Bo Ding; Yuanzhao Zhai; Huaimin Wang (IEEE Robotics Autom. Lett., 2024)

Dynamic Memory-Based Curiosity: A Bootstrap Approach for Exploration in Reinforcement Learning. - Zijian Gao; Yiying Li; Kele Xu; Yuanzhao Zhai; Bo Ding; Dawei Feng; Xinjun Mao; Huaimin Wang (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Nuclear Norm Maximization-Based Curiosity-Driven Reinforcement Learning. - Chao Chen; Yuanzhao Zhai; Zijian Gao; Kele Xu; Sen Yang 003; Yiying Li; Bo Ding; Dawei Feng; Huaimin Wang (IEEE Trans. Artif. Intell., 2024)

Self-Supervised Exploration via Temporal Inconsistency in Reinforcement Learning. - Zijian Gao; Kele Xu; Yuanzhao Zhai; Bo Ding; Dawei Feng; Xinjun Mao; Huaimin Wang (IEEE Trans. Artif. Intell., 2024)

Enhancing Decision-Making for LLM Agents via Step-Level Q-Value Models. - Yuanzhao Zhai; Tingkai Yang; Kele Xu; Dawei Feng; Cheng Yang 004; Bo Ding; Huaimin Wang (AAAI, 2025)

Correcting Large Language Model Behavior via Influence Function. - Han Zhang 025; Zhuo Zhang 007; Yi Zhang; Yuanzhao Zhai; Hanyang Peng; Yu Lei; Yue Yu 001; Hui Wang 030; Bin Liang 004; Lin Gui 003; Ruifeng Xu 001 (AAAI, 2025)

COPR: Continual Human Preference Learning via Optimal Policy Regularization. - Han Zhang 025; Lin Gui 003; Yu Lei; Yuanzhao Zhai; Yehong Zhang; Zhuo Zhang 007; Yulan He 001; Hui Wang 030; Yue Yu 001; Kam-Fai Wong; Bin Liang 004; Ruifeng Xu 001 (ACL (Findings), 2025)

Preference-Strength-Aware Self-Improving Alignment with Generative Preference Models. - Yuanzhao Zhai; Zhuo Zhang 007; Cheng Yang 004; Kele Xu; Yue Yu 001; Wei Li; Hui Wang 030; Zenglin Xu; Dawei Feng; Bo Ding; Huaimin Wang (SIGIR, 2025)

Empowering Large Language Model Agent through Step-Level Self-Critique and Self-Training. - Yuanzhao Zhai; Huanxi Liu; Zhuo Zhang 007; Tong Lin; Kele Xu; Cheng Yang 004; Dawei Feng; Bo Ding; Huaimin Wang (SIGIR, 2025)