Yuanzhao Zhai

According to our database, Yuanzhao Zhai authored at least 23 papers between 2021 and 2024.

Collaborative distances:

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

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., November, 2024

Nuclear Norm Maximization-Based Curiosity-Driven Reinforcement Learning.

Chao Chen, Yuanzhao Zhai, Zijian Gao, Kele Xu, Sen Yang, Yiying Li, Bo Ding, Dawei Feng, Huaimin Wang

IEEE Trans. Artif. Intell., May, 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., April, 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., January, 2024

Enhancing Decision-Making for LLM Agents via Step-Level Q-Value Models.

Yuanzhao Zhai, Tingkai Yang, Kele Xu, Dawei Feng, Cheng Yang, Bo Ding, Huaimin Wang

CoRR, 2024

Online Self-Preferring Language Models.

Yuanzhao Zhai, Zhuo Zhang, Kele Xu, Hanyang Peng, Yue Yu, Dawei Feng, Cheng Yang, Bo Ding, Huaimin Wang

CoRR, 2024

COPR: Continual Human Preference Learning via Optimal Policy Regularization.

Han Zhang, Lin Gui, Yu Lei, Yuanzhao Zhai, Yehong Zhang, Yulan He, Hui Wang, Yue Yu, Kam-Fai Wong, Bin Liang, Ruifeng Xu

CoRR, 2024

Uncertainty-Penalized Reinforcement Learning from Human Feedback with Diverse Reward LoRA Ensembles.

Yuanzhao Zhai, Han Zhang, Yu Lei, Yue Yu, Kele Xu, Dawei Feng, Bo Ding, Huaimin Wang

CoRR, 2024

Iterative Regularized Policy Optimization with Imperfect Demonstrations.

Xudong Gong, Dawei Feng, Kele Xu, Yuanzhao Zhai, Chengkang Yao, Weijia Wang, Bo Ding, Huaimin Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Nuclear-Norm Maximization for Low-Rank Updates.

Huanxi Liu, Yuanzhao Zhai, Kele Xu, Dawei Feng, Yiying Li

Proceedings of the IEEE International Conference on Acoustics, 2024

Optimistic Model Rollouts for Pessimistic Offline Policy Optimization.

Yuanzhao Zhai, Yiying Li, Zijian Gao, Xudong Gong, Kele Xu, Dawei Feng, Bo Ding, Huaimin Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

COPF: Continual Learning Human Preference through Optimal Policy Fitting.

Han Zhang, Lin Gui, Yuanzhao Zhai, Hui Wang, Yu Lei, Ruifeng Xu

CoRR, 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

Proceedings of the IEEE International Conference on Acoustics, 2023

Progressive Diversifying Policy for Multi-Agent Reinforcement Learning.

Shaoqi Sun, Yuanzhao Zhai, Kele Xu, Dawei Feng, Bo Ding

Proceedings of the IEEE International Conference on Acoustics, 2023

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

A Fast and Robust Solution for Common Knowledge Formation in Decentralized Swarm Robots.

Jie Luo, Xiao Shu, Yuanzhao Zhai, Xiang Fu, Bo Ding, Jie Xu

J. Intell. Robotic Syst., 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

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

Exploring Policy Diversity in Parallel Actor-Critic Learning.

Yanqiang Zhang, Yuanzhao Zhai, Gongqian Zhou, Bo Ding, Dawei Feng, Songwang Liu

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Pseudo Reward and Action Importance Classification for Sparse Reward Problem.

Qingtong Wu, Dawei Feng, Yuanzhao Zhai, Bo Ding, Jie Luo

Proceedings of the ICMLC 2022: 14th International Conference on Machine Learning and Computing, Guangzhou, China, February 18, 2022

2021

Cloudroid Swarm: A QoS-Aware Framework for Multirobot Cooperation Offloading.

Yuanzhao Zhai, Bo Ding, Pengfei Zhang, Jie Luo

Wirel. Commun. Mob. Comput., 2021

Decentralized Multi-Robot Collision Avoidance in Complex Scenarios With Selective Communication.

Yuanzhao Zhai, Bo Ding, Xuan Liu, Hongda Jia, Yong Zhao, Jie Luo

IEEE Robotics Autom. Lett., 2021

Accelerating Robot Reinforcement Learning with Samples of Different Simulation Precision.

Yong Zhao, Yuanzhao Zhai, Jie Luo, Dawei Feng, Bo Ding, Zhen Li

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021