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Jiayu Chen
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Publications
- 2024
- [i18]Jiayu Chen, Bhargav Ganguly, Yang Xu, Yongsheng Mei, Tian Lan, Vaneet Aggarwal:
Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions. CoRR abs/2402.13777 (2024) - [i17]Dipesh Tamboli, Jiayu Chen, Kiran Pranesh Jotheeswaran, Denny Yu, Vaneet Aggarwal:
Reinforced Sequential Decision-Making for Sepsis Treatment: The POSNEGDM Framework with Mortality Classifier and Transformer. CoRR abs/2403.07309 (2024) - [i16]Swetha Ganesh, Jiayu Chen, Gugan Thoppe, Vaneet Aggarwal:
Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries. CoRR abs/2403.09940 (2024) - 2023
- [j16]Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal:
Learning Multiagent Options for Tabular Reinforcement Learning using Factor Graphs. IEEE Trans. Artif. Intell. 4(5): 1141-1153 (2023) - [c41]Jiayu Chen, Dipesh Tamboli, Tian Lan, Vaneet Aggarwal:
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning. ICML 2023: 4895-4920 - [c40]Jiayu Chen, Tian Lan, Vaneet Aggarwal:
Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control. ICRA 2023: 5902-5908 - [c39]Jiayu Chen, Vaneet Aggarwal, Tian Lan:
A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process. NeurIPS 2023 - [i14]Jiayu Chen, Dipesh Tamboli, Tian Lan, Vaneet Aggarwal:
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning. CoRR abs/2305.12633 (2023) - [i13]Jiayu Chen, Tian Lan, Vaneet Aggarwal:
Hierarchical Deep Counterfactual Regret Minimization. CoRR abs/2305.17327 (2023) - [i12]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:
Two-tiered Online Optimization of Region-wide Datacenter Resource Allocation via Deep Reinforcement Learning. CoRR abs/2306.17054 (2023) - [i10]Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal:
Scalable Multi-agent Skill Discovery based on Kronecker Graphs. CoRR abs/2307.11629 (2023) - 2022
- [c36]Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal:
Multi-agent Covering Option Discovery through Kronecker Product of Factor Graphs. AAMAS 2022: 1572-1574 - [c34]Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal:
Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs. NeurIPS 2022 - [i7]Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal:
Multi-agent Covering Option Discovery based on Kronecker Product of Factor Graphs. CoRR abs/2201.08227 (2022) - [i6]Jiayu Chen, Tian Lan, Vaneet Aggarwal:
Hierarchical Adversarial Inverse Reinforcement Learning. CoRR abs/2210.01969 (2022) - [i5]Jiayu Chen, Marina Haliem, Tian Lan, Vaneet Aggarwal:
Multi-agent Deep Covering Option Discovery. CoRR abs/2210.03269 (2022) - [i4]Jiayu Chen, Vaneet Aggarwal, Tian Lan:
ODPP: A Unified Algorithm Framework for Unsupervised Option Discovery based on Determinantal Point Process. CoRR abs/2212.00211 (2022) - 2021
- [c33]Jiayu Chen, Abhishek K. Umrawal, Tian Lan, Vaneet Aggarwal:
DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery. ICAPS 2021: 510-518 - [i3]Jiayu Chen, Abhishek K. Umrawal, Tian Lan, Vaneet Aggarwal:
DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery. CoRR abs/2103.03450 (2021)
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