Jiayu Chen

38 papers A* 7A 2C 1Journal 27Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Survey of Behavior Foundation Model: Next-Generation Whole-Body Control System of Humanoid Robots.
IEEE Trans. Pattern Anal. Mach. Intell.
Mingqi Yuan, Tao Yu, Wenqi Ge, Xiuyong Yao, Dapeng Li, Huijiang Wang, Jiayu Chen, Bo Li, Wei Zhang, Wenjun Zeng, Hua Chen, Xin Jin
2025 J jnl
Behavior Foundation Model: Towards Next-Generation Whole-Body Control System of Humanoid Robots.
CoRR
Mingqi Yuan, Tao Yu, Wenqi Ge, Xiuyong Yao, Dapeng Li, Huijiang Wang, Jiayu Chen, Xin Jin, Bo Li, Hua Chen, Wei Zhang, Wenjun Zeng
2025 J jnl
Learning Explainable Stock Predictions with Tweets Using Mixture of Experts.
CoRR
Wenyan Xu, Dawei Xiang, Rundong Wang, Yonghong Hu, Liang Zhang, Jiayu Chen, Zhonghua Lu
2025 J jnl
Learning-Based Two-Tiered Online Optimization of Region-Wide Datacenter Resource Allocation.
IEEE Trans. Netw. Serv. Manag.
Chang-Lin Chen, Hanhan Zhou, Jiayu Chen, Mohammad Pedramfar, Tian Lan, Zheqing Zhu, Chi Zhou, Pol Mauri Ruiz, Neeraj Kumar, Hongbo Dong, Vaneet Aggarwal
2025 J jnl
MALinZero: Efficient Low-Dimensional Search for Mastering Complex Multi-Agent Planning.
CoRR
Sizhe Tang, Jiayu Chen, Tian Lan
2025 J jnl
Mining Intraday Risk Factor Collections via Hierarchical Reinforcement Learning based on Transferred Options.
CoRR
Wenyan Xu, Jiayu Chen, Chen Li, Yonghong Hu, Zhonghua Lu
2025 A conf
Order-Optimal Global Convergence for Actor-Critic with General Policy and Neural Critic Parametrization.
UAI
Swetha Ganesh, Jiayu Chen, Washim Uddin Mondal, Vaneet Aggarwal
2025 J jnl
Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning.
CoRR
Jiayu Chen, Aravind Venugopal, Jeff Schneider
2025 J jnl
Rack Position Optimization in Large-Scale Heterogeneous Data Centers.
CoRR
Chang-Lin Chen, Jiayu Chen, Tian Lan, Zhaoxia Zhao, Hongbo Dong, Vaneet Aggarwal
2025 A* conf
Variational Offline Multi-agent Skill Discovery.
IJCAI
Jiayu Chen, Tian Lan, Vaneet Aggarwal
2024 J jnl
Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning.
CoRR
Jiayu Chen, Wentse Chen, Jeff Schneider
2024 J jnl
Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions.
CoRR
Jiayu Chen, Bhargav Ganguly, Yang Xu, Yongsheng Mei, Tian Lan, Vaneet Aggarwal
2024 J jnl
Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions.
Trans. Mach. Learn. Res.
Jiayu Chen, Bhargav Ganguly, Yang Xu, Yongsheng Mei, Tian Lan, Vaneet Aggarwal
2024 J jnl
Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries.
CoRR
Swetha Ganesh, Jiayu Chen, Gugan Thoppe, Vaneet Aggarwal
2024 J jnl
Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries.
Trans. Mach. Learn. Res.
Swetha Ganesh, Jiayu Chen, Gugan Thoppe, Vaneet Aggarwal
2024 J jnl
Hierarchical Adversarial Inverse Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Jiayu Chen, Tian Lan, Vaneet Aggarwal
2024 J jnl
Reinforced Sequential Decision-Making for Sepsis Treatment: The POSNEGDM Framework with Mortality Classifier and Transformer.
CoRR
Dipesh Tamboli, Jiayu Chen, Kiran Pranesh Jotheeswaran, Denny Yu, Vaneet Aggarwal
2024 J jnl
Reinforced Sequential Decision-Making for Sepsis Treatment: The PosNegDM Framework With Mortality Classifier and Transformer.
IEEE J. Biomed. Health Informatics
Dipesh Tamboli, Jiayu Chen, Kiran Pranesh Jotheeswaran, Denny Yu, Vaneet Aggarwal
2024 J jnl
Variational Offline Multi-agent Skill Discovery.
CoRR
Jiayu Chen, Bhargav Ganguly, Tian Lan, Vaneet Aggarwal
2023 A* conf
A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process.
NeurIPS
Jiayu Chen, Vaneet Aggarwal, Tian Lan
2023 J jnl
Hierarchical Deep Counterfactual Regret Minimization.
CoRR
Jiayu Chen, Tian Lan, Vaneet Aggarwal
2023 — conf
Impact of AI on Mobile Computing: A Systematic Review from a Human Factors Perspective.
HCI (53)
Jiayu Chen, Bhargav Ganguly, Sameeran G. Kanade, Vincent G. Duffy
2023 J jnl
Learning Multiagent Options for Tabular Reinforcement Learning using Factor Graphs.
IEEE Trans. Artif. Intell.
Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal
2023 A* conf
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning.
ICML
Jiayu Chen, Dipesh Tamboli, Tian Lan, Vaneet Aggarwal
2023 J jnl
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning.
CoRR
Jiayu Chen, Dipesh Tamboli, Tian Lan, Vaneet Aggarwal
2023 A* conf
Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control.
ICRA
Jiayu Chen, Tian Lan, Vaneet Aggarwal
2023 J jnl
Scalable Multi-agent Skill Discovery based on Kronecker Graphs.
CoRR
Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal
2023 J jnl
Two-tiered Online Optimization of Region-wide Datacenter Resource Allocation via Deep Reinforcement Learning.
CoRR
Chang-Lin Chen, Hanhan Zhou, Jiayu Chen, Mohammad Pedramfar, Vaneet Aggarwal, Tian Lan, Zheqing Zhu, Chi Zhou, Tim Gasser, Pol Mauri Ruiz, Vijay Menon, Neeraj Kumar, Hongbo Dong
2022 J jnl
Hierarchical Adversarial Inverse Reinforcement Learning.
CoRR
Jiayu Chen, Tian Lan, Vaneet Aggarwal
2022 J jnl
Multi-agent Covering Option Discovery based on Kronecker Product of Factor Graphs.
CoRR
Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal
2022 A conf
Multi-agent Covering Option Discovery through Kronecker Product of Factor Graphs.
AAMAS
Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal
2022 J jnl
Multi-agent Deep Covering Option Discovery.
CoRR
Jiayu Chen, Marina Haliem, Tian Lan, Vaneet Aggarwal
2022 J jnl
ODPP: A Unified Algorithm Framework for Unsupervised Option Discovery based on Determinantal Point Process.
CoRR
Jiayu Chen, Vaneet Aggarwal, Tian Lan
2022 A* conf
Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs.
NeurIPS
Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal
2021 A* conf
Decision Making for Autonomous Driving via Augmented Adversarial Inverse Reinforcement Learning.
ICRA
Pin Wang, Dapeng Liu, Jiayu Chen, Hanhan Li, Ching-Yao Chan
2021 A* conf
DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery.
ICAPS
Jiayu Chen, Abhishek K. Umrawal, Tian Lan, Vaneet Aggarwal
2021 J jnl
DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery.
CoRR
Jiayu Chen, Abhishek K. Umrawal, Tian Lan, Vaneet Aggarwal
2019 C conf
Supervised Learning for Semantic Segmentation of 3D LiDAR Data.
IV
Jilin Mei, Jiayu Chen, Wen Yao, Xijun Zhao, Huijing Zhao