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2110.03155
Cited By
The Benefits of Being Categorical Distributional: Uncertainty-aware Regularized Exploration in Reinforcement Learning
7 October 2021
Ke Sun
Yingnan Zhao
Enze Shi
Yafei Wang
Xiaodong Yan
Bei Jiang
Linglong Kong
OOD
OffRL
UQCV
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Papers citing
"The Benefits of Being Categorical Distributional: Uncertainty-aware Regularized Exploration in Reinforcement Learning"
4 / 4 papers shown
Title
Estimation and Inference in Distributional Reinforcement Learning
Liangyu Zhang
Yang Peng
Jiadong Liang
Wenhao Yang
Zhihua Zhang
OffRL
31
1
0
29 Sep 2023
How Does Value Distribution in Distributional Reinforcement Learning Help Optimization?
Ke Sun
Bei Jiang
Linglong Kong
16
4
0
29 Sep 2022
Exploring the Training Robustness of Distributional Reinforcement Learning against Noisy State Observations
Ke Sun
Yingnan Zhao
Shangling Jui
Linglong Kong
OOD
48
17
0
17 Sep 2021
Conservative Offline Distributional Reinforcement Learning
Yecheng Jason Ma
Dinesh Jayaraman
Osbert Bastani
OffRL
70
78
0
12 Jul 2021
1