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The Benefits of Being Categorical Distributional: Uncertainty-aware
  Regularized Exploration in Reinforcement Learning

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
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?
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
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
Conservative Offline Distributional Reinforcement Learning
Yecheng Jason Ma
Dinesh Jayaraman
Osbert Bastani
OffRL
70
78
0
12 Jul 2021
1