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Haoran Tang
Haoran Tang
PhD student in Applied Mathematics; University of California, Berkeley
Verified email at math.berkeley.edu - Homepage
Title
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Cited by
Year
Reinforcement Learning with Deep Energy-Based Policies
H Tang, T Haarnoja, P Abbeel, S Levine
International conference on machine learning (ICML), 2017, 2017
1097*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
719*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
782019
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
502018
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
262019
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
42016
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
32021
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
32018
Training Artificial Networks for Robotic Picking
Y Duan, T Haoran, Y Shentu, N Mishra, X Chen
US Patent App. 17/014,558, 2021
12021
Towards Informed Exploration for Deep Reinforcement Learning
H Tang
University of California, Berkeley, 2019
12019
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
2021
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