Publications

A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process

Published in Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS), 2023

Jiayu Chen, Vaneet Aggarwal, and Tian Lan

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Hierarchical Adversarial Inverse Reinforcement Learning

Published in IEEE Transactions on Neural Networks and Learning Systems, 2023

Jiayu Chen, Tian Lan, and Vaneet Aggarwal

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Multi-task Hierarchical Adversarial Inverse Reinforcement Learning

Published in Proceedings of the 40th International Conference on Machine Learning (ICML), 2023

Jiayu Chen, Dipesh Tamboli, Tian Lan, and Vaneet Aggarwal

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Learning-based Two-tiered Online Optimization of Region-wide Datacenter Resource Allocation

Published in arXiv preprint arXiv:2306.17054, 2023

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, and Hongbo Dong

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Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control

Published in IEEE International Conference on Robotics and Automation (ICRA), 2023

Jiayu Chen, Tian Lan, and Vaneet Aggarwal

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Hierarchical Deep Counterfactual Regret Minimization

Published in arXiv preprint arXiv:2305.17327, 2023

Jiayu Chen, Tian Lan, and Vaneet Aggarwal

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Scalable Multi-agent Option Discovery based on Kronecker Graphs

Published in Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS), 2022

Jiayu Chen, Jingdi Chen, Tian Lan, Aggarwal Vaneet

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Multi-Agent Covering Option Discovery Based on Kronecker Product of Factor Graphs

Published in IEEE Transactions on Artificial Intelligence, 2022

Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal

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Multi-agent Deep Covering Option Discovery

Published in ICML Reinforcement Learning for Real Life Workshop, 2021

Jiayu Chen, Marina Wagdy Wadea Haliem, Tian Lan, and Vaneet Aggarwal

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Decision Making for Autonomous Driving via Augmented Adversarial Inverse Reinforcement Learning

Published in IEEE International Conference on Robotics and Automation (ICRA), 2021

Pin Wang, Dapeng Liu, Jiayu Chen, Hanhan Li, and Ching-Yao Chan

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DeepFreight: A Model-free Deepreinforcement-learning-based Algorithm for Multi-transfer Freight Delivery

Published in Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS), 2021

Jiayu Chen, Abhishek K. Umrawal, Tian Lan, and Vaneet Aggarwal

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Supervised Learning for Semantic Segmentation of 3D LiDAR Data

Published in IEEE Intelligent Vehicles Symposium (IV), 2019

Jilin Mei, Jiayu Chen, Wen Yao, Xijun Zhao, and Huijing Zhao

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Jiayu Chen (陈佳玉)

Publications