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Iterated risk measures for risk-sensitive Markov decision processes with discounted cost

Iterated risk measures for risk-sensitive Markov decision processes with discounted cost

Takayuki Osogami
ArXiv (abs)PDFHTML

Papers citing "Iterated risk measures for risk-sensitive Markov decision processes with discounted cost"

6 / 6 papers shown
Title
Near-Optimal Sample Complexity for Iterated CVaR Reinforcement Learning with a Generative Model
Near-Optimal Sample Complexity for Iterated CVaR Reinforcement Learning with a Generative Model
Zilong Deng
Simon Khan
Shaofeng Zou
176
1
0
11 Mar 2025
Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback
Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback
Yu Chen
Yihan Du
Pihe Hu
Si-Yi Wang
De-hui Wu
Longbo Huang
57
8
0
06 Jul 2023
Regret Bounds for Risk-sensitive Reinforcement Learning with Lipschitz Dynamic Risk Measures
Regret Bounds for Risk-sensitive Reinforcement Learning with Lipschitz Dynamic Risk Measures
Hao Liang
Zhihui Luo
80
5
0
04 Jun 2023
RASR: Risk-Averse Soft-Robust MDPs with EVaR and Entropic Risk
RASR: Risk-Averse Soft-Robust MDPs with EVaR and Entropic Risk
J. Hau
Marek Petrik
Mohammad Ghavamzadeh
R. Russel
91
5
0
09 Sep 2022
Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path
Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path
Yihan Du
Siwei Wang
Longbo Huang
OOD
70
15
0
06 Jun 2022
An Approximate Solution Method for Large Risk-Averse Markov Decision Processes
An Approximate Solution Method for Large Risk-Averse Markov Decision Processes
Marek Petrik
D. Subramanian
90
32
0
16 Oct 2012

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