|Reinforcement Learning with Deep Energy-Based Policies|
H Tang, T Haarnoja, P Abbeel, S Levine
International conference on machine learning (ICML), 2017, 2017
|#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning|
H Tang, R Houthooft, D Foote, A Stooke, OAI Xi Chen, Y Duan, ...
Advances in neural information processing systems (NeurIPS), 2017, 2017
|Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning?|
O Nachum, H Tang, X Lu, S Gu, H Lee, S Levine
arXiv preprint arXiv:1909.10618, 2019
|Modular Architecture for StarCraft II with Deep Reinforcement Learning|
D Lee, H Tang, J Zhang, H Xu, T Darrell, P Abbeel
Proceedings of the AAAI Conference on Artificial Intelligence and …, 2018
|Convolutional Neural Networks for Grazing Incidence X-Ray Scattering Patterns: Thin Film Structure Identification|
S Liu, CN Melton, S Venkatakrishnan, RJ Pandolfi, G Freychet, D Kumar, ...
MRS Communications 9 (2), 586-592, 2019
|Convolutional neural networks at the interface of physical and digital data|
D Ushizima, C Yang, S Venkatakrishnan, F Araujo, R Silva, H Tang, ...
2016 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-12, 2016
|Systems and Methods for Robotic Picking|
Y Duan, X Chen, M Rohaninejad, N Mishra, YX Liu, AA Vaziri, T Haoran, ...
US Patent App. 17/014,545, 2021
|Hierarchical Deep Reinforcement Learning Agent with Counter Self-play on Competitive Games|
H Xu, K Paster, Q Chen, H Tang, P Abbeel, T Darrell, S Levine
|Training Artificial Networks for Robotic Picking|
Y Duan, T Haoran, Y Shentu, N Mishra, X Chen
US Patent App. 17/014,558, 2021
|Towards Informed Exploration for Deep Reinforcement Learning|
University of California, Berkeley, 2019
|Trajectory Optimization Using Neural Networks|
T Haoran, X Chen, Y Duan, N Mishra, S Wu, M Sieb, Y Shentu
US Patent App. 17/193,870, 2021