Jun Yang

Orcid: 0000-0002-9386-5825

Affiliations:

Tsinghua University, Department of Automation, Beijing, China
Tsinghua University, Graduate School at Shenzhen, China (PhD 2011)

According to our database¹, Jun Yang authored at least 38 papers between 2008 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2023

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

[BibT_eX]

[DOI]

Int. J. Autom. Comput., 2023

Learning Diverse Risk Preferences in Population-based Self-play.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Position Weighted Convolutional Neural Network for Unbalanced Children Caries Diagnosis.

[BibT_eX]

[DOI]

IEEE Access, 2023

Conservative Offline Policy Adaptation in Multi-Agent Games.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2022

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

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

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

[BibT_eX]

[DOI]

Frontiers Inf. Technol. Electron. Eng., 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Safe Opponent-Exploitation Subgame Refinement.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2022

2021

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

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

The Partially Observable Asynchronous Multi-Agent Cooperation Challenge.

[BibT_eX]

[DOI]

CoRR, 2021

AI in Games: Techniques, Challenges and Opportunities.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

2020

SOAC: The Soft Option Actor-Critic Architecture.

[BibT_eX]

[DOI]

CoRR, 2020

Wasserstein Distance guided Adversarial Imitation Learning with Reward Shape Exploration.

[BibT_eX]

[DOI]

CoRR, 2020

Distributional Soft Actor Critic for Risk Sensitive Learning.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

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

Fairness Control of Traffic Light via Deep Reinforcement Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Int. J. Syst. Sci., 2019

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

[BibT_eX]

[DOI]

IEEE Access, 2019

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Proceedings of the 2019 American Control Conference, 2019

2017

Deep Model Based Domain Adaptation for Fault Diagnosis.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2017

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

[BibT_eX]

[DOI]

Sensors, 2017

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

[BibT_eX]

[DOI]

Sensors, 2017

2012

Laboratory Test System Design for Star Sensor Performance Evaluation.

[BibT_eX]

[DOI]

J. Comput., 2012

2011

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

[BibT_eX]

[DOI]

Sensors, 2011

2008

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

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Control, 2008

Jun Yang

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