| Coordinated Multi-Agent Imitation Learning HM Le, Y Yue, P Carr, P Lucey arXiv preprint arXiv:1703.03121, 2017 | 99 | 2017 |
| Coordinated Multi-agent Imitation Learning HM Le, Y Yue, P Carr, P Lucey Proceedings of the 34th International Conference on Machine Learning, 2017 | 99 | 2017 |
| Hierarchical imitation and reinforcement learning H Le, N Jiang, A Agarwal, M Dudík, Y Yue, H Daumé International Conference on Machine Learning, 2917-2926, 2018 | 72 | 2018 |
| Data-driven ghosting using deep imitation learning HM Le, P Carr, Y Yue, P Lucey | 59 | 2017 |
| Batch policy learning under constraints H Le, C Voloshin, Y Yue International Conference on Machine Learning, 3703-3712, 2019 | 50 | 2019 |
| Learning online smooth predictors for realtime camera planning using recurrent decision trees J Chen, HM Le, P Carr, Y Yue, JJ Little Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 44 | 2016 |
| Episodic learning with control lyapunov functions for uncertain robotic systems AJ Taylor, VD Dorobantu, HM Le, Y Yue, AD Ames arXiv preprint arXiv:1903.01577, 2019 | 24 | 2019 |
| Federated reinforcement learning HH Zhuo, W Feng, Q Xu, Q Yang, Y Lin arXiv preprint arXiv:1901.08277, 2019 | 24 | 2019 |
| Smooth Imitation Learning for Online Sequence Prediction HM Le, A Kang, Y Yue, P Carr Proceedings of The 33rd International Conference on Machine Learning, 680-688, 2016 | 23 | 2016 |
| The discrete Gould transform and its applications HM Le, M Aburdene Image Processing: Algorithms and Systems, Neural Networks, and Machine …, 2006 | 11 | 2006 |
| Imitation-Projected Programmatic Reinforcement Learning A Verma, HM Le, Y Yue, S Chaudhuri Advances in Neural Information Processing Systems, 15726-15737, 2019 | 10 | 2019 |
| Empirical study of off-policy policy evaluation for reinforcement learning C Voloshin, HM Le, N Jiang, Y Yue arXiv preprint arXiv:1911.06854, 2019 | 9 | 2019 |
| A control lyapunov perspective on episodic learning via projection to state stability AJ Taylor, VD Dorobantu, M Krishnamoorthy, HM Le, Y Yue, AD Ames 2019 IEEE 58th Conference on Decision and Control (CDC), 1448-1455, 2019 | 5 | 2019 |
| Imitation learning Y Yue, HM Le Tutorials of the Thirty-fifth International Conference on Machine Learning …, 2018 | 5 | 2018 |
| Scaling properties of human brain functional networks R Zucca, XD Arsiwalla, H Le, M Rubinov, PFMJ Verschure International Conference on Artificial Neural Networks, 107-114, 2016 | 2 | 2016 |
| Imitation-Projected Policy Gradient for Programmatic Reinforcement Learning A Verma, HM Le, Y Yue, S Chaudhuri arXiv, Art. No. 9705, 2019 | 1 | 2019 |
| Empirical analysis of off-policy policy evaluation for reinforcement learning C Voloshin, HM Le, Y Yue Real-world Sequential Decision Making Workshop at ICML 2019, 2019 | 1 | 2019 |
| New Frameworks for Structured Policy Learning HM Le California Institute of Technology, 2020 | | 2020 |
| Degree Distribution of Human Brain Functional Connectivity is Generalized Pareto: A Multi-Scale Analysis R Zucca, XD Arsiwalla, H Le, M Rubinov, A Gurguí, P Verschure | | 2019 |
| Data-driven ghosting using deep imitation learning GPK Carr, HM Le, YUE Yisong US Patent App. 15/830,710, 2018 | | 2018 |
Yisong YueCalifornia Institute of TechnologyVerified email at caltech.edu
