Haoran Tang
Haoran Tang
PhD student in Applied Mathematics; University of California, Berkeley
Verified email at math.berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Reinforcement Learning with Deep Energy-Based Policies
H Tang, T Haarnoja, P Abbeel, S Levine
arXiv preprint arXiv:1702.08165, 2017
4902017
# exploration: A study of count-based exploration for deep reinforcement learning
H Tang, R Houthooft, D Foote, A Stooke, OAIX Chen, Y Duan, J Schulman, ...
Advances in neural information processing systems, 2753-2762, 2017
3462017
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
262018
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
162019
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
22018
Towards Informed Exploration for Deep Reinforcement Learning
H Tang
UC Berkeley, 2019
2019
The system can't perform the operation now. Try again later.
Articles 1–6