ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2206.02678
  4. Cited By
Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR
  and Worst Path

Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path

6 June 2022
Yihan Du
Siwei Wang
Longbo Huang
    OOD
ArXivPDFHTML

Papers citing "Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path"

13 / 13 papers shown
Title
Risk-sensitive Reinforcement Learning Based on Convex Scoring Functions
Risk-sensitive Reinforcement Learning Based on Convex Scoring Functions
Shanyu Han
Yang Liu
Xiang Yu
42
0
0
07 May 2025
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
54
0
0
11 Mar 2025
Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning
Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning
Dake Zhang
Boxiang Lyu
Shuang Qiu
Mladen Kolar
Tong Zhang
OffRL
38
0
0
10 Jul 2024
Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision
  Processes
Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes
Andrew Bennett
Nathan Kallus
M. Oprescu
Wen Sun
Kaiwen Wang
AAML
OffRL
50
1
0
29 Mar 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
Philip H. S. Torr
Pascal Poupart
42
3
0
17 Mar 2024
Provable Risk-Sensitive Distributional Reinforcement Learning with
  General Function Approximation
Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation
Yu Chen
Xiangcheng Zhang
Siwei Wang
Longbo Huang
39
3
0
28 Feb 2024
Provably Efficient Partially Observable Risk-Sensitive Reinforcement
  Learning with Hindsight Observation
Provably Efficient Partially Observable Risk-Sensitive Reinforcement Learning with Hindsight Observation
Tonghe Zhang
Yu Chen
Longbo Huang
41
0
0
28 Feb 2024
Near-Minimax-Optimal Distributional Reinforcement Learning with a
  Generative Model
Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model
Mark Rowland
Wenliang Kevin Li
Rémi Munos
Clare Lyle
Yunhao Tang
Will Dabney
OOD
OffRL
30
1
0
12 Feb 2024
Provably Efficient CVaR RL in Low-rank MDPs
Provably Efficient CVaR RL in Low-rank MDPs
Yulai Zhao
Wenhao Zhan
Xiaoyan Hu
Ho-fung Leung
Farzan Farnia
Wen Sun
Jason D. Lee
29
4
0
20 Nov 2023
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
24
6
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
23
4
0
04 Jun 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
39
46
0
06 Nov 2021
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
67
310
0
06 Jun 2015
1