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A Robust Quantile Huber Loss With Interpretable Parameter Adjustment In
  Distributional Reinforcement Learning

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
ArXivPDFHTML

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
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
Deep Huber quantile regression networks
Hristos Tyralis
Georgia Papacharalampous
N. Dogulu
Kwok-Pan Chun
UQCV
44
1
0
17 Jun 2023
On the 1-Wasserstein Distance between Location-Scale Distributions and
  the Effect of Differential Privacy
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
Robust Losses for Learning Value Functions
Andrew Patterson
Victor Liao
Martha White
28
12
0
17 May 2022
1