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On the Convergence and Optimality of Policy Gradient for Markov Coherent
  Risk
v1v2 (latest)

On the Convergence and Optimality of Policy Gradient for Markov Coherent Risk

4 March 2021
Audrey Huang
Liu Leqi
Zachary Chase Lipton
Kamyar Azizzadenesheli
ArXiv (abs)PDFHTML

Papers citing "On the Convergence and Optimality of Policy Gradient for Markov Coherent Risk"

14 / 14 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
253
1
0
11 Mar 2025
Policy Gradient Methods for Risk-Sensitive Distributional Reinforcement Learning with Provable Convergence
Policy Gradient Methods for Risk-Sensitive Distributional Reinforcement Learning with Provable Convergence
Minheng Xiao
Xian Yu
Lei Ying
187
2
0
23 May 2024
A Simple Mixture Policy Parameterization for Improving Sample Efficiency
  of CVaR Optimization
A Simple Mixture Policy Parameterization for Improving Sample Efficiency of CVaR Optimization
Yudong Luo
Yangchen Pan
Han Wang
Juil Sock
Pascal Poupart
179
3
0
17 Mar 2024
Risk-sensitive Markov Decision Process and Learning under General
  Utility Functions
Risk-sensitive Markov Decision Process and Learning under General Utility Functions
Zhengqi Wu
Renyuan Xu
100
4
0
22 Nov 2023
Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient,
  and Sample Complexity
Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity
Runyu Zhang
Yang Hu
Na Li
223
9
0
20 Jun 2023
Distributional Method for Risk Averse Reinforcement Learning
Distributional Method for Risk Averse Reinforcement Learning
Ziteng Cheng
S. Jaimungal
Nick G. Martin
100
0
0
27 Feb 2023
Train Hard, Fight Easy: Robust Meta Reinforcement Learning
Train Hard, Fight Easy: Robust Meta Reinforcement Learning
Ido Greenberg
Shie Mannor
Gal Chechik
E. Meirom
OffRLOOD
161
9
0
26 Jan 2023
On the Global Convergence of Risk-Averse Policy Gradient Methods with Expected Conditional Risk Measures
On the Global Convergence of Risk-Averse Policy Gradient Methods with Expected Conditional Risk Measures
Xian Yu
Lei Ying
179
6
0
26 Jan 2023
Off-Policy Risk Assessment in Markov Decision Processes
Off-Policy Risk Assessment in Markov Decision Processes
Audrey Huang
Liu Leqi
Zachary Chase Lipton
Kamyar Azizzadenesheli
OffRL
172
8
0
21 Sep 2022
Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement
  Learning
Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement Learning
Anthony Coache
S. Jaimungal
Á. Cartea
180
14
0
29 Jun 2022
Efficient Risk-Averse Reinforcement Learning
Efficient Risk-Averse Reinforcement Learning
Ido Greenberg
Yinlam Chow
Mohammad Ghavamzadeh
Shie Mannor
124
49
0
10 May 2022
Reinforcement Learning with Dynamic Convex Risk Measures
Reinforcement Learning with Dynamic Convex Risk Measures
Anthony Coache
S. Jaimungal
165
33
0
26 Dec 2021
Deep Reinforcement Learning for Equal Risk Pricing and Hedging under
  Dynamic Expectile Risk Measures
Deep Reinforcement Learning for Equal Risk Pricing and Hedging under Dynamic Expectile Risk Measures
S. Marzban
Erick Delage
Jonathan Yu-Meng Li
78
4
0
09 Sep 2021
Robust Risk-Aware Reinforcement Learning
Robust Risk-Aware Reinforcement Learning
S. Jaimungal
Silvana M. Pesenti
Ye Wang
Hariom Tatsat
141
34
0
23 Aug 2021
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