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Browsing by Author Aggarwal, Vaneet
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Showing results 1 to 13 of 13
Title
Author(s)
Issue Date
A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process
Proceeding/Conference:
Advances in Neural Information Processing Systems
Chen, Jiayu
Aggarwal, Vaneet
Lan, Tian
2023
Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions
Journal:
Transactions on Machine Learning Research
Chen, Jiayu
Ganguly, Bhargav
Xu, Yang
Mei, Yongsheng
Lan, Tian
Aggarwal, Vaneet
2024
DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery
Proceeding/Conference:
Proceedings International Conference on Automated Planning and Scheduling Icaps
Chen, Jiayu
Umrawal, Abhishek K.
Lan, Tian
Aggarwal, Vaneet
2021
Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries
Journal:
Transactions on Machine Learning Research
Ganesh, Swetha
Chen, Jiayu
Thoppe, Gugan
Aggarwal, Vaneet
2024
Hierarchical Adversarial Inverse Reinforcement Learning
Journal:
IEEE Transactions on Neural Networks and Learning Systems
Chen, Jiayu
Lan, Tian
Aggarwal, Vaneet
2024
Learning Multiagent Options for Tabular Reinforcement Learning using Factor Graphs
Journal:
IEEE Transactions on Artificial Intelligence
Chen, Jiayu
Chen, Jingdi
Lan, Tian
Aggarwal, Vaneet
2023
Learning-Based Two-Tiered Online Optimization of Region-Wide Datacenter Resource Allocation
Journal:
IEEE Transactions on Network and Service Management
Chen, Chang Lin
Zhou, Hanhan
Chen, Jiayu
Pedramfar, Mohammad
Lan, Tian
Zhu, Zheqing
Zhou, Chi
Mauri Ruiz, Pol
Kumar, Neeraj
Dong, Hongbo
Aggarwal, Vaneet
2025
Multi-agent Covering Option Discovery through Kronecker Product of Factor Graphs
Proceeding/Conference:
Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems Aamas
Chen, Jiayu
Chen, Jingdi
Lan, Tian
Aggarwal, Vaneet
2022
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning
Proceeding/Conference:
Proceedings of Machine Learning Research
Chen, Jiayu
Tamboli, Dipesh
Lan, Tian
Aggarwal, Vaneet
2023
Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control
Proceeding/Conference:
Proceedings IEEE International Conference on Robotics and Automation
Chen, Jiayu
Lan, Tian
Aggarwal, Vaneet
2023
Order-Optimal Global Convergence for Actor-Critic with General Policy and Neural Critic Parametrization
Proceeding/Conference:
Proceedings of Machine Learning Research
Ganesh, Swetha
Chen, Jiayu
Mondal, Washim Uddin
Aggarwal, Vaneet
2025
Reinforced Sequential Decision-Making for Sepsis Treatment: The PosNegDM Framework With Mortality Classifier and Transformer
Journal:
IEEE Journal of Biomedical and Health Informatics
Tamboli, Dipesh
Chen, Jiayu
Jotheeswaran, Kiran Pranesh
Yu, Denny
Aggarwal, Vaneet
2024
Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs
Proceeding/Conference:
Advances in Neural Information Processing Systems
Chen, Jiayu
Chen, Jingdi
Lan, Tian
Aggarwal, Vaneet
2022