| Decision making for autonomous driving via augmented adversarial inverse reinforcement learning P Wang, D Liu, J Chen, H Li, CY Chan 2021 IEEE International Conference on Robotics and Automation (ICRA), 1036-1042, 2021 | 56* | 2021 |
| Deepfreight: A model-free deep-reinforcement-learning-based algorithm for multi-transfer freight delivery J Chen, AK Umrawal, T Lan, V Aggarwal Proceedings of the International Conference on Automated Planning and …, 2021 | 22 | 2021 |
| Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs J Chen, J Chen, T Lan, A Vaneet Proceedings of the 36th Conference on Neural Information Processing Systems …, 2022 | 21 | 2022 |
| Learning Multiagent Options for Tabular Reinforcement Learning using Factor Graphs J Chen, J Chen, T Lan, V Aggarwal IEEE Transactions on Artificial Intelligence 4 (5), 1141-1153, 2022 | 18* | 2022 |
| Option-aware adversarial inverse reinforcement learning for robotic control J Chen, T Lan, V Aggarwal 2023 IEEE International Conference on Robotics and Automation (ICRA), 5902-5908, 2023 | 13 | 2023 |
| Hierarchical adversarial inverse reinforcement learning J Chen, T Lan, V Aggarwal IEEE Transactions on Neural Networks and Learning Systems, 2023 | 10* | 2023 |
| Multi-task Hierarchical Adversarial Inverse Reinforcement Learning J Chen, D Tamboli, T Lan, V Aggarwal Proceedings of the 40th International Conference on Machine Learning, 4895-4920, 2023 | 7 | 2023 |
| Two-tiered online optimization of region-wide datacenter resource allocation via deep reinforcement learning CL Chen, H Zhou, J Chen, M Pedramfar, V Aggarwal, T Lan, Z Zhu, ... arXiv preprint arXiv:2306.17054, 2023 | 6 | 2023 |
| Multi-agent Deep Covering Option Discovery J Chen, M Haliem, T Lan, V Aggarwal ICML Reinforcement Learning for Real Life Workshop, 2021 | 6 | 2021 |
| Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions J Chen, B Ganguly, Y Xu, Y Mei, T Lan, V Aggarwal Transactions on Machine Learning Research, 2024 | 5 | 2024 |
| Supervised learning for semantic segmentation of 3D LiDAR data J Mei, J Chen, W Yao, X Zhao, H Zhao 2019 IEEE Intelligent Vehicles Symposium (IV), 1491-1498, 2019 | 5 | 2019 |
| Highly Maneuverable Ground Reconnaissance Robot Based on Machine Learning P Wang, X Peng, J Chen, J Chen 2018 3rd International Conference on Robotics and Automation Engineering …, 2018 | 4 | 2018 |
| A unified algorithm framework for unsupervised discovery of skills based on determinantal point process J Chen, V Aggarwal, T Lan Advances in Neural Information Processing Systems 36, 2024 | 2* | 2024 |
| Reinforced Sequential Decision-Making for Sepsis Treatment: The PosNegDM Framework with Mortality Classifier and Transformer D Tamboli, J Chen, KP Jotheeswaran, D Yu, V Aggarwal IEEE Journal of Biomedical and Health Informatics, 2024 | 1 | 2024 |
| Impact of AI on Mobile Computing: A Systematic Review from a Human Factors Perspective J Chen, B Ganguly, SG Kanade, VG Duffy International Conference on Human-Computer Interaction, 24-38, 2023 | 1 | 2023 |
| Temporal Abstractions in Multi-agent Learning J Chen Purdue University Graduate School, 2024 | | 2024 |
| Variational Offline Multi-agent Skill Discovery J Chen, B Ganguly, T Lan, V Aggarwal arXiv preprint arXiv:2405.16386, 2024 | | 2024 |
| Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries S Ganesh, J Chen, G Thoppe, V Aggarwal arXiv preprint arXiv:2403.09940, 2024 | | 2024 |
| Hierarchical Deep Counterfactual Regret Minimization J Chen, T Lan, V Aggarwal arXiv preprint arXiv:2305.17327, 2023 | | 2023 |
Vaneet AggarwalPurdue UniversityVerified email at purdue.edu
