Hoang M. Le
Title
Cited by
Cited by
Year
Coordinated Multi-Agent Imitation Learning
HM Le, Y Yue, P Carr, P Lucey
arXiv preprint arXiv:1703.03121, 2017
882017
Coordinated Multi-agent Imitation Learning
HM Le, Y Yue, P Carr, P Lucey
Proceedings of the 34th International Conference on Machine Learning, 2017
882017
Hierarchical imitation and reinforcement learning
HM Le, N Jiang, A Agarwal, M Dudík, Y Yue, H Daumé III
arXiv preprint arXiv:1803.00590, 2018
682018
Data-driven ghosting using deep imitation learning
HM Le, P Carr, Y Yue, P Lucey
592017
Batch policy learning under constraints
HM Le, C Voloshin, Y Yue
arXiv preprint arXiv:1903.08738, 2019
402019
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
392016
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
232016
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
222019
Federated reinforcement learning
HH Zhuo, W Feng, Q Xu, Q Yang, Y Lin
arXiv preprint arXiv:1901.08277, 2019
192019
The discrete Gould transform and its applications
HM Le, M Aburdene
Image Processing: Algorithms and Systems, Neural Networks, and Machine …, 2006
112006
Imitation-Projected Programmatic Reinforcement Learning
A Verma, HM Le, Y Yue, S Chaudhuri
Advances in Neural Information Processing Systems, 15726-15737, 2019
102019
Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning
C Voloshin, HM Le, N Jiang, Y Yue
arXiv preprint arXiv:1911.06854, 2019
72019
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
52019
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
22016
Imitation-Projected Policy Gradient for Programmatic Reinforcement Learning
A Verma, HM Le, Y Yue, S Chaudhuri
arXiv preprint arXiv:1907.05431, 2019
12019
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
Empirical Analysis of Off-Policy Policy Evaluation for Reinforcement Learning
C Voloshin, HM Le, Y Yue
2019
Data-driven ghosting using deep imitation learning
GPK Carr, HM Le, YUE Yisong
US Patent App. 15/830,710, 2018
2018
LQR, Inverse Reinforcement Learning, Learning from Expert Demonstrations
HM Le
2016
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