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2301.04462
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An Analysis of Quantile Temporal-Difference Learning
11 January 2023
Mark Rowland
Rémi Munos
M. G. Azar
Yunhao Tang
Georg Ostrovski
Anna Harutyunyan
K. Tuyls
Marc G. Bellemare
Will Dabney
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Papers citing
"An Analysis of Quantile Temporal-Difference Learning"
5 / 5 papers shown
Title
Foundations of Multivariate Distributional Reinforcement Learning
Harley Wiltzer
Jesse Farebrother
Arthur Gretton
Mark Rowland
OffRL
43
2
0
31 Aug 2024
Bellman Unbiasedness: Toward Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation
Taehyun Cho
Seung Han
Kyungjae Lee
Seokhun Ju
Dohyeong Kim
Jungwoo Lee
72
0
0
31 Jul 2024
Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation
Yu Chen
Xiangcheng Zhang
Siwei Wang
Longbo Huang
42
3
0
28 Feb 2024
Learning Risk-Aware Quadrupedal Locomotion using Distributional Reinforcement Learning
Lukas Schneider
Jonas Frey
Takahiro Miki
Marco Hutter
37
9
0
25 Sep 2023
Distributional Offline Policy Evaluation with Predictive Error Guarantees
Runzhe Wu
Masatoshi Uehara
Wen Sun
OffRL
38
13
0
19 Feb 2023
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