Jiayu Chen
Orcid: 0000-0002-7708-5247Affiliations:
- University of Hong Kong, Department of Data and Systems Engineering, Hong Kong
- Purdue University, School of Industrial Engineering, West Lafayette, IN, USA (PhD 2024)
- Peking University, College of Engineering, Beijing, China (2016 - 2020)
According to our database1,
Jiayu Chen
authored at least 30 papers
between 2019 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on dase.hku.hk
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Bibliography
2025
CoRR, July, 2025
Behavior Foundation Model: Towards Next-Generation Whole-Body Control System of Humanoid Robots.
CoRR, June, 2025
Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning.
CoRR, May, 2025
CoRR, April, 2025
Learning-Based Two-Tiered Online Optimization of Region-Wide Datacenter Resource Allocation.
IEEE Trans. Netw. Serv. Manag., February, 2025
Mining Intraday Risk Factor Collections via Hierarchical Reinforcement Learning based on Transferred Options.
CoRR, January, 2025
Order-Optimal Global Convergence for Actor-Critic with General Policy and Neural Critic Parametrization.
Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025
2024
IEEE Trans. Neural Networks Learn. Syst., December, 2024
Reinforced Sequential Decision-Making for Sepsis Treatment: The PosNegDM Framework With Mortality Classifier and Transformer.
IEEE J. Biomed. Health Informatics, May, 2024
Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries.
Trans. Mach. Learn. Res., 2024
Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions.
Trans. Mach. Learn. Res., 2024
Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning.
CoRR, 2024
2023
IEEE Trans. Artif. Intell., October, 2023
Two-tiered Online Optimization of Region-wide Datacenter Resource Allocation via Deep Reinforcement Learning.
CoRR, 2023
A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the International Conference on Machine Learning, 2023
Impact of AI on Mobile Computing: A Systematic Review from a Human Factors Perspective.
Proceedings of the HCI International 2023 - Late Breaking Papers, 2023
2022
ODPP: A Unified Algorithm Framework for Unsupervised Option Discovery based on Determinantal Point Process.
CoRR, 2022
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022
2021
Decision Making for Autonomous Driving via Augmented Adversarial Inverse Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery.
Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, 2021
2019
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019