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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"

16 / 16 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
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
105
2
0
23 May 2024
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
78
5
0
26 Jan 2023
Gradient Descent-Ascent Provably Converges to Strict Local Minmax
  Equilibria with a Finite Timescale Separation
Gradient Descent-Ascent Provably Converges to Strict Local Minmax Equilibria with a Finite Timescale Separation
Tanner Fiez
Lillian J. Ratliff
52
16
0
30 Sep 2020
Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff
  in Regret
Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret
Yingjie Fei
Zhuoran Yang
Yudong Chen
Zhaoran Wang
Qiaomin Xie
63
67
0
22 Jun 2020
Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy
Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy
Ramtin Keramati
Christoph Dann
Alex Tamkin
Emma Brunskill
87
75
0
05 Nov 2019
Distributional Reinforcement Learning for Efficient Exploration
Distributional Reinforcement Learning for Efficient Exploration
B. Mavrin
Shangtong Zhang
Hengshuai Yao
Linglong Kong
Kaiwen Wu
Yaoliang Yu
OODOffRL
52
88
0
13 May 2019
Off-Policy Policy Gradient with State Distribution Correction
Off-Policy Policy Gradient with State Distribution Correction
Yao Liu
Adith Swaminathan
Alekh Agarwal
Emma Brunskill
OffRL
161
67
0
17 Apr 2019
Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation
Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation
Qiang Liu
Lihong Li
Ziyang Tang
Dengyong Zhou
OffRL
179
356
0
29 Oct 2018
A Distributional Perspective on Reinforcement Learning
A Distributional Perspective on Reinforcement Learning
Marc G. Bellemare
Will Dabney
Rémi Munos
OffRL
108
1,507
0
21 Jul 2017
Cumulative Prospect Theory Meets Reinforcement Learning: Prediction and
  Control
Cumulative Prospect Theory Meets Reinforcement Learning: Prediction and Control
A. PrashanthL.
Cheng Jie
Michael Fu
Steve Marcus
Csaba Szepesvári
110
91
0
08 Jun 2015
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
138
323
0
06 Jun 2015
Policy Gradient for Coherent Risk Measures
Policy Gradient for Coherent Risk Measures
Aviv Tamar
Yinlam Chow
Mohammad Ghavamzadeh
Shie Mannor
72
120
0
13 Feb 2015
Algorithms for CVaR Optimization in MDPs
Algorithms for CVaR Optimization in MDPs
Yinlam Chow
Mohammad Ghavamzadeh
108
201
0
12 Jun 2014
Optimizing the CVaR via Sampling
Optimizing the CVaR via Sampling
Aviv Tamar
Yonatan Glassner
Shie Mannor
94
186
0
15 Apr 2014
Policy Gradients with Variance Related Risk Criteria
Policy Gradients with Variance Related Risk Criteria
Dotan Di Castro
Aviv Tamar
Shie Mannor
107
211
0
27 Jun 2012
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