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Stochastic Approximation for Risk-aware Markov Decision Processes

Stochastic Approximation for Risk-aware Markov Decision Processes

11 May 2018
Wenjie Huang
W. Haskell
ArXivPDFHTML

Papers citing "Stochastic Approximation for Risk-aware Markov Decision Processes"

5 / 5 papers shown
Title
Distributional Method for Risk Averse Reinforcement Learning
Distributional Method for Risk Averse Reinforcement Learning
Ziteng Cheng
S. Jaimungal
Nick G. Martin
29
0
0
27 Feb 2023
Exponential Bellman Equation and Improved Regret Bounds for
  Risk-Sensitive Reinforcement Learning
Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning
Yingjie Fei
Zhuoran Yang
Yudong Chen
Zhaoran Wang
59
47
0
06 Nov 2021
Risk-averse autonomous systems: A brief history and recent developments
  from the perspective of optimal control
Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control
Yuheng Wang
Margaret P. Chapman
43
34
0
18 Sep 2021
Model and Reinforcement Learning for Markov Games with Risk Preferences
Model and Reinforcement Learning for Markov Games with Risk Preferences
Wenjie Huang
P. V. Hai
W. Haskell
16
4
0
15 Jan 2019
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach
Yinlam Chow
Aviv Tamar
Shie Mannor
Marco Pavone
73
314
0
06 Jun 2015
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