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2020 – today
- 2024
[j7]Hongda Jia
, Zijian Gao, Cheng Yang, Bo Ding, Yuanzhao Zhai, Huaimin Wang:
C3F: Constant Collaboration and Communication Framework for Graph-Representation Dynamic Multi-Robotic Systems. IEEE Robotics Autom. Lett. 9(1): 95-102 (2024)- [j6]Chao Chen, Yuanzhao Zhai, Zijian Gao, Kele Xu, Sen Yang, Yiying Li, Bo Ding, Dawei Feng, Huaimin Wang:
Nuclear Norm Maximization-Based Curiosity-Driven Reinforcement Learning. IEEE Trans. Artif. Intell. 5(5): 2410-2421 (2024) - [j5]Zijian Gao, Yiying Li, Kele Xu, Yuanzhao Zhai, Bo Ding, Dawei Feng, Xinjun Mao, Huaimin Wang:
Dynamic Memory-Based Curiosity: A Bootstrap Approach for Exploration in Reinforcement Learning. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1181-1193 (2024) - [c8]Yuanzhao Zhai, Yiying Li, Zijian Gao, Xudong Gong, Kele Xu, Dawei Feng, Bo Ding, Huaimin Wang:
Optimistic Model Rollouts for Pessimistic Offline Policy Optimization. AAAI 2024: 16678-16686 - [c7]Huanxi Liu, Yuanzhao Zhai, Kele Xu, Dawei Feng, Yiying Li:
Nuclear-Norm Maximization for Low-Rank Updates. ICASSP 2024: 11101-11105 - [c6]Xudong Gong, Dawei Feng, Kele Xu, Yuanzhao Zhai, Chengkang Yao, Weijia Wang, Bo Ding, Huaimin Wang:
Iterative Regularized Policy Optimization with Imperfect Demonstrations. ICML 2024 - [i9]Yuanzhao Zhai, Han Zhang, Yu Lei, Yue Yu, Kele Xu, Dawei Feng, Bo Ding, Huaimin Wang:
Uncertainty-Penalized Reinforcement Learning from Human Feedback with Diverse Reward LoRA Ensembles. CoRR abs/2401.00243 (2024) - [i8]Yuanzhao Zhai, Yiying Li, Zijian Gao, Xudong Gong, Kele Xu, Dawei Feng, Bo Ding, Huaimin Wang:
Optimistic Model Rollouts for Pessimistic Offline Policy Optimization. CoRR abs/2401.05899 (2024) - [i7]Han Zhang, Lin Gui, Yu Lei, Yuanzhao Zhai, Yehong Zhang, Yulan He, Hui Wang, Yue Yu, Kam-Fai Wong, Bin Liang, Ruifeng Xu:
COPR: Continual Human Preference Learning via Optimal Policy Regularization. CoRR abs/2402.14228 (2024) - [i6]Yuanzhao Zhai, Zhuo Zhang, Kele Xu, Hanyang Peng, Yue Yu, Dawei Feng, Cheng Yang, Bo Ding, Huaimin Wang:
Online Self-Preferring Language Models. CoRR abs/2405.14103 (2024) - [i5]Yuanzhao Zhai, Tingkai Yang, Kele Xu, Dawei Feng, Cheng Yang, Bo Ding, Huaimin Wang:
Enhancing Decision-Making for LLM Agents via Step-Level Q-Value Models. CoRR abs/2409.09345 (2024) - 2023
- [c5]Shaoqi Sun, Yuanzhao Zhai, Kele Xu, Dawei Feng, Bo Ding:
Progressive Diversifying Policy for Multi-Agent Reinforcement Learning. ICASSP 2023: 1-5 - [c4]Yuanzhao Zhai, Kele Xu, Bo Ding, Dawei Feng, Zijian Gao, Huaimin Wang:
Diversifying Message Aggregation in Multi-Agent Communication Via Normalized Tensor Nuclear Norm Regularization. ICASSP 2023: 1-5 - [i4]Han Zhang, Lin Gui, Yuanzhao Zhai, Hui Wang, Yu Lei, Ruifeng Xu:
COPF: Continual Learning Human Preference through Optimal Policy Fitting. CoRR abs/2310.15694 (2023) - 2022
- [j4]Jie Luo, Xiao Shu, Yuanzhao Zhai, Xiang Fu, Bo Ding, Jie Xu:
A Fast and Robust Solution for Common Knowledge Formation in Decentralized Swarm Robots. J. Intell. Robotic Syst. 106(4): 68 (2022) - [j3]Hongda Jia, Yong Zhao, Yuanzhao Zhai, Bo Ding, Huaimin Wang, Qingtong Wu:
CRMRL: Collaborative Relationship Meta Reinforcement Learning for Effectively Adapting to Type Changes in Multi-Robotic System. IEEE Robotics Autom. Lett. 7(4): 11362-11369 (2022) - [c3]Qingtong Wu, Dawei Feng, Yuanzhao Zhai, Bo Ding, Jie Luo:
Pseudo Reward and Action Importance Classification for Sparse Reward Problem. ICMLC 2022: 51-58 - [c2]Yanqiang Zhang, Yuanzhao Zhai, Gongqian Zhou, Bo Ding, Dawei Feng, Songwang Liu:
Exploring Policy Diversity in Parallel Actor-Critic Learning. ICTAI 2022: 1196-1203 - [i3]Yuanzhao Zhai, Kele Xu, Bo Ding, Dawei Feng, Zijian Gao, Huaimin Wang:
Diversifying Message Aggregation in Multi-Agent Communication via Normalized Tensor Nuclear Norm Regularization. CoRR abs/2208.05414 (2022) - [i2]Zijian Gao, Kele Xu, Yiying Li, Yuanzhao Zhai, Dawei Feng, Bo Ding, XinJun Mao, Huaimin Wang:
Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration. CoRR abs/2208.11349 (2022) - [i1]Zijian Gao, Kele Xu, Hengxing Cai, Yuanzhao Zhai, Dawei Feng, Bo Ding, XinJun Mao, Huaimin Wang:
Self-Supervised Exploration via Temporal Inconsistency in Reinforcement Learning. CoRR abs/2208.11361 (2022) - 2021
- [j2]Yuanzhao Zhai, Bo Ding, Xuan Liu, Hongda Jia, Yong Zhao, Jie Luo:
Decentralized Multi-Robot Collision Avoidance in Complex Scenarios With Selective Communication. IEEE Robotics Autom. Lett. 6(4): 8379-8386 (2021) - [j1]Yuanzhao Zhai, Bo Ding, Pengfei Zhang, Jie Luo:
Cloudroid Swarm: A QoS-Aware Framework for Multirobot Cooperation Offloading. Wirel. Commun. Mob. Comput. 2021: 6631111:1-6631111:18 (2021) - [c1]Yong Zhao, Yuanzhao Zhai, Jie Luo, Dawei Feng, Bo Ding, Zhen Li:
Accelerating Robot Reinforcement Learning with Samples of Different Simulation Precision. HPCC/DSS/SmartCity/DependSys 2021: 423-430
Coauthor Index
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