Suivre
Shangtong Zhang
Shangtong Zhang
University of Virginia
Adresse e-mail validée de virginia.edu - Page d'accueil
Titre
Citée par
Citée par
Année
A Deeper Look at Experience Replay
S Zhang, RS Sutton
Deep Reinforcement Learning Symposium, NIPS 2017, 2017
3312017
GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values
S Zhang, B Liu, S Whiteson
ICML 2020, 2020
942020
Distributional Reinforcement Learning for Efficient Exploration
B Mavrin, S Zhang, H Yao, L Kong, K Wu, Y Yu
ICML 2019, 2019
872019
mlpack 3: a fast, flexible machine learning library
R Curtin, M Edel, M Lozhnikov, Y Mentekidis, S Ghaisas, S Zhang
Journal of Open Source Software 3 (26), 726, 2018
852018
DAC: The Double Actor-Critic Architecture for Learning Options
S Zhang, S Whiteson
NeurIPS 2019, 2019
762019
Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation
S Zhang, B Liu, H Yao, S Whiteson
ICML 2020, 2019
522019
Generalized Off-Policy Actor-Critic
S Zhang, W Boehmer, S Whiteson
NeurIPS 2019, 2019
512019
Breaking the Deadly Triad with a Target Network
S Zhang, H Yao, S Whiteson
ICML 2021, 2021
402021
Mean-variance policy iteration for risk-averse reinforcement learning
S Zhang, B Liu, S Whiteson
Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10905 …, 2021
362021
QUOTA: The Quantile Option Architecture for Reinforcement Learning
S Zhang, B Mavrin, L Kong, B Liu, H Yao
AAAI 2019, 2018
322018
Average-Reward Off-Policy Policy Evaluation with Function Approximation
S Zhang, Y Wan, RS Sutton, S Whiteson
ICML 2021, 2021
312021
ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search
S Zhang, H Chen, H Yao
AAAI 2019, 2018
312018
Modularized Implementation of Deep RL Algorithms in PyTorch
S Zhang
29*2018
A deep neural network for modeling music
P Zhang, X Zheng, W Zhang, S Li, S Qian, W He, S Zhang, Z Wang
Proceedings of the 5th ACM on International Conference on Multimedia …, 2015
272015
Deep Residual Reinforcement Learning
S Zhang, W Boehmer, S Whiteson
AAMAS 2020, 2019
222019
AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning
M Mathieu, S Ozair, S Srinivasan, C Gulcehre, S Zhang, R Jiang, ...
arXiv preprint arXiv:2308.03526, 2023
19*2023
Learning expected emphatic traces for deep RL
R Jiang, S Zhang, V Chelu, A White, H van Hasselt
Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 7015-7023, 2022
132022
Learning Retrospective Knowledge with Reverse Reinforcement Learning
S Zhang, V Veeriah, S Whiteson
NeurIPS 2020, 2020
132020
Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards
Y Song, J Wang, T Lukasiewicz, Z Xu, S Zhang, M Xu
AAAI 2020, 2019
132019
Comparing Deep Reinforcement Learning and Evolutionary Methods in Continuous Control
S Zhang, OR Zaiane
Deep Reinforcement Learning Symposium, NIPS 2017, 2017
122017
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