Jun Yang

According to our database, Jun Yang authored at least 45 papers between 2008 and 2025.

Collaborative distances:

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

2025

CVaR-Constrained Policy Optimization for Safe Reinforcement Learning.

Qiyuan Zhang, Shu Leng, Xiaoteng Ma, Qihan Liu, Xueqian Wang, Bin Liang, Yu Liu, Jun Yang

IEEE Trans. Neural Networks Learn. Syst., January, 2025

2024

Distributed Deep Reinforcement Learning: A Survey and a Multi-player Multi-agent Learning Toolbox.

Qiyue Yin, Tongtong Yu, Shengqi Shen, Jun Yang, Meijing Zhao, Wancheng Ni, Kaiqi Huang, Bin Liang, Liang Wang

Mach. Intell. Res., June, 2024

An Asymmetric Game Theoretic Learning Model.

Qiyue Yin, Tongtong Yu, Xueou Feng, Jun Yang, Kaiqi Huang

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

More Like Real World Game Challenge for Partially Observable Multi-agent Cooperation.

Xueou Feng, Meng Yao, Shengqi Shen, Qiyue Yin, Jun Yang

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Single-Trajectory Distributionally Robust Reinforcement Learning.

Zhipeng Liang, Xiaoteng Ma, José H. Blanchet, Jun Yang, Jiheng Zhang, Zhengyuan Zhou

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

Efficient Multi-agent Reinforcement Learning by Planning.

Qihan Liu, Jianing Ye, Xiaoteng Ma, Jun Yang, Bin Liang, Chongjie Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning Diverse Risk Preferences in Population-Based Self-Play.

Yuhua Jiang, Qihan Liu, Xiaoteng Ma, Chenghao Li, Yiqin Yang, Jun Yang, Bin Liang, Qianchuan Zhao

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

2023

AI in Human-computer Gaming: Techniques, Challenges and Opportunities.

Qiyue Yin, Jun Yang, Kaiqi Huang, Meijing Zhao, Wancheng Ni, Bin Liang, Yan Huang, Shu Wu, Liang Wang

Int. J. Autom. Comput., 2023

Uncertainty-driven Trajectory Truncation for Model-based Offline Reinforcement Learning.

Junjie Zhang, Jiafei Lyu, Xiaoteng Ma, Jiangpeng Yan, Jun Yang, Le Wan, Xiu Li

CoRR, 2023

Position Weighted Convolutional Neural Network for Unbalanced Children Caries Diagnosis.

Xiaojie Zhou, Xueou Feng, Qingming Li, Qiyue Yin, Jun Yang, Guoxia Yu, Qing Shi

IEEE Access, 2023

Multi-target Approaching Control of Hyper-redundant Manipulators using Reinforcement Learning.

Han Xu, Chen Xue, Quan Chen, Jun Yang, Bin Liang

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

Conservative Offline Policy Adaptation in Multi-Agent Games.

Chengjie Wu, Pingzhong Tang, Jun Yang, Yujing Hu, Tangjie Lv, Changjie Fan, Chongjie Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Joint Recurrent Actor-Critic Model for Partially Observable Control.

Han Xu, Jun Yang, Bin Liang

Proceedings of the 28th International Conference on Automation and Computing, 2023

Uncertainty-Driven Trajectory Truncation for Data Augmentation in Offline Reinforcement Learning.

Junjie Zhang, Jiafei Lyu, Xiaoteng Ma, Jiangpeng Yan, Jun Yang, Le Wan, Xiu Li

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery.

Yiqin Yang, Hao Hu, Wenzhe Li, Siyuan Li, Jun Yang, Qianchuan Zhao, Chongjie Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

APD: Learning Diverse Behaviors for Reinforcement Learning Through Unsupervised Active Pre-Training.

Kailin Zeng, Qiyuan Zhang, Bin Chen, Bin Liang, Jun Yang

IEEE Robotics Autom. Lett., 2022

Cooperative planning of multi-agent systems based on task-oriented knowledge fusion with graph neural networks.

Hanqi Dai, Weining Lu, Xianglong Li, Jun Yang, Deshan Meng, Yanze Liu, Bin Liang

Frontiers Inf. Technol. Electron. Eng., 2022

Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox.

Qiyue Yin, Tongtong Yu, Shengqi Shen, Jun Yang, Meijing Zhao, Kaiqi Huang, Bin Liang, Liang Wang

CoRR, 2022

Safe Opponent-Exploitation Subgame Refinement.

Mingyang Liu, Chengjie Wu, Qihan Liu, Yansen Jing, Jun Yang, Pingzhong Tang, Chongjie Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Offline Reinforcement Learning with Value-based Episodic Memory.

Xiaoteng Ma, Yiqin Yang, Hao Hu, Jun Yang, Chongjie Zhang, Qianchuan Zhao, Bin Liang, Qihan Liu

Proceedings of the Tenth International Conference on Learning Representations, 2022

Active Fault-Tolerant Control Integrated with Reinforcement Learning Application to Robotic Manipulator.

Zichen Yan, Junbo Tan, Bin Liang, Houde Liu, Jun Yang

Proceedings of the American Control Conference, 2022

2021

Learning to Discover Task-Relevant Features for Interpretable Reinforcement Learning.

Qiyuan Zhang, Xiaoteng Ma, Yiqin Yang, Chenghao Li, Jun Yang, Yu Liu, Bin Liang

IEEE Robotics Autom. Lett., 2021

The Partially Observable Asynchronous Multi-Agent Cooperation Challenge.

Meng Yao, Qiyue Yin, Jun Yang, Tongtong Yu, Shengqi Shen, Junge Zhang, Bin Liang, Kaiqi Huang

CoRR, 2021

AI in Games: Techniques, Challenges and Opportunities.

Qiyue Yin, Jun Yang, Wancheng Ni, Bin Liang, Kaiqi Huang

CoRR, 2021

Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning.

Yiqin Yang, Xiaoteng Ma, Chenghao Li, Zewu Zheng, Qiyuan Zhang, Gao Huang, Jun Yang, Qianchuan Zhao

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Celebrating Diversity in Shared Multi-Agent Reinforcement Learning.

Chenghao Li, Tonghan Wang, Chengjie Wu, Qianchuan Zhao, Jun Yang, Chongjie Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Average-Reward Reinforcement Learning with Trust Region Methods.

Xiaoteng Ma, Xiaohang Tang, Li Xia, Jun Yang, Qianchuan Zhao

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning.

Xiaoteng Ma, Yiqin Yang, Chenghao Li, Yiwen Lu, Qianchuan Zhao, Jun Yang

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

SOAC: The Soft Option Actor-Critic Architecture.

Chenghao Li, Xiaoteng Ma, Chongjie Zhang, Jun Yang, Li Xia, Qianchuan Zhao

CoRR, 2020

Wasserstein Distance guided Adversarial Imitation Learning with Reward Shape Exploration.

Ming Zhang, Yawei Wang, Xiaoteng Ma, Li Xia, Jun Yang, Zhiheng Li, Xiu Li

CoRR, 2020

Distributional Soft Actor Critic for Risk Sensitive Learning.

Xiaoteng Ma, Qiyuan Zhang, Li Xia, Zhengyuan Zhou, Jun Yang, Qianchuan Zhao

CoRR, 2020

Conservatism Comparison of State Estimation Error and Residual in Multiple Actuator Faults Detection.

Bo Min, Junbo Tan, Xueqian Wang, Jun Yang, Bin Liang

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Fairness Control of Traffic Light via Deep Reinforcement Learning.

Chenghao Li, Xiaoteng Ma, Li Xia, Qianchuan Zhao, Jun Yang

Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

2019

Invariant set-based robust fault detection and optimal fault estimation for discrete-time LPV systems with bounded uncertainties.

Junbo Tan, Feng Xu, Xueqian Wang, Jun Yang, Bin Liang

Int. J. Syst. Sci., 2019

A Deep Transfer Model With Wasserstein Distance Guided Multi-Adversarial Networks for Bearing Fault Diagnosis Under Different Working Conditions.

Ming Zhang, Duo Wang, Weining Lu, Jun Yang, Zhiheng Li, Bin Liang

IEEE Access, 2019

Modeling and Control of Free-Floating Space Manipulator Using the T-S Fuzzy Descriptor System Approach.

Jiabao He, Feng Xu, Xueqian Wang, Jun Yang, Bin Liang

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Control of Space Flexible Manipulator Using Soft Actor-Critic and Random Network Distillation.

Chen Yang, Jun Yang, Xueqian Wang, Bin Liang

Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

Locomotion Control for Quadruped Robot Combining Central Pattern Generators with Virtual Model Control.

Xiang Wang, Houde Liu, Bin Liang, Xueqian Wang, Jun Yang

Proceedings of the 15th IEEE International Conference on Control and Automation, 2019

Set-based Active Fault Diagnosis for Discrete-time Linear Descriptor Systems.

Songlin Yang, Feng Xu, Xueqian Wang, Jun Yang, Bin Liang

Proceedings of the 2019 American Control Conference, 2019

2017

Deep Model Based Domain Adaptation for Fault Diagnosis.

Weining Lu, Bin Liang, Yu Cheng, Deshan Meng, Jun Yang, Tao Zhang

IEEE Trans. Ind. Electron., 2017

Depth Errors Analysis and Correction for Time-of-Flight (ToF) Cameras.

Ying He, Bin Liang, Yu Zou, Jin He, Jun Yang

Sensors, 2017

An Iterative Closest Points Algorithm for Registration of 3D Laser Scanner Point Clouds with Geometric Features.

Ying He, Bin Liang, Jun Yang, Shunzhi Li, Jin He

Sensors, 2017

2012

Laboratory Test System Design for Star Sensor Performance Evaluation.

Jun Yang, Bin Liang, Tao Zhang, Jingyan Song, Liang-liang Song

J. Comput., 2012

2011

A Novel Systematic Error Compensation Algorithm Based on Least Squares Support Vector Regression for Star Sensor Image Centroid Estimation.

Jun Yang, Bin Liang, Tao Zhang, Jingyan Song

Sensors, 2011

2008

Redundant design of A CAN BUS Testing and Communication System for space robot arm.

Jun Yang, Tao Zhang, Jingyan Song, Hanxu Sun, Guozhen Shi, Yao Chen

Proceedings of the 10th International Conference on Control, 2008