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A Robust Quantile Huber Loss With Interpretable Parameter Adjustment In Distributional Reinforcement Learning
4 January 2024
Parvin Malekzadeh
Konstantinos N. Plataniotis
Zissis Poulos
Zeyu Wang
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Papers citing
"A Robust Quantile Huber Loss With Interpretable Parameter Adjustment In Distributional Reinforcement Learning"
4 / 4 papers shown
Title
EX-DRL: Hedging Against Heavy Losses with EXtreme Distributional Reinforcement Learning
Parvin Malekzadeh
Zissis Poulos
Jacky Chen
Zeyu Wang
Konstantinos N. Plataniotis
36
1
0
22 Aug 2024
Deep Huber quantile regression networks
Hristos Tyralis
Georgia Papacharalampous
N. Dogulu
Kwok-Pan Chun
UQCV
39
1
0
17 Jun 2023
On the 1-Wasserstein Distance between Location-Scale Distributions and the Effect of Differential Privacy
Saurab Chhachhi
Fei Teng
72
6
0
28 Apr 2023
Robust Losses for Learning Value Functions
Andrew Patterson
Victor Liao
Martha White
25
12
0
17 May 2022
1