Reinforcement Learning with Deep Energy-Based Policies H Tang, T Haarnoja, P Abbeel, S Levine International conference on machine learning (ICML), 2017, 2017 | 1483* | 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 | 913* | 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 | 112 | 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 | 58 | 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 | 37 | 2019 |
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 | 11 | 2021 |
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 | 7 | 2021 |
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 | 4 | 2016 |
Training Artificial Networks for Robotic Picking Y Duan, T Haoran, Y Shentu, N Mishra, X Chen US Patent App. 17/014,558, 2021 | 3 | 2021 |
Towards Informed Exploration for Deep Reinforcement Learning H Tang University of California, Berkeley, 2019 | 3 | 2019 |
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 | 3 | 2018 |
Training artificial networks for robotic picking Y Duan, T Haoran, Y Shentu, N Mishra, X Chen US Patent App. 18/416,283, 2024 | | 2024 |