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Bridging Distributional and Risk-sensitive Reinforcement Learning with
  Provable Regret Bounds

Bridging Distributional and Risk-sensitive Reinforcement Learning with Provable Regret Bounds

25 October 2022
Hao Liang
Zhihui Luo
ArXivPDFHTML

Papers citing "Bridging Distributional and Risk-sensitive Reinforcement Learning with Provable Regret Bounds"

14 / 14 papers shown
Title
Beyond CVaR: Leveraging Static Spectral Risk Measures for Enhanced Decision-Making in Distributional Reinforcement Learning
Mehrdad Moghimi
Hyejin Ku
OffRL
33
0
0
03 Jan 2025
Bellman Unbiasedness: Toward Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation
Bellman Unbiasedness: Toward Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation
Taehyun Cho
Seung Han
Kyungjae Lee
Seokhun Ju
Dohyeong Kim
Jungwoo Lee
59
0
0
31 Jul 2024
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
23
0
0
10 Jul 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
23
3
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
20
1
0
12 Feb 2024
Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice
  via HyperAgent
Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent
Yingru Li
Jiawei Xu
Lei Han
Zhi-Quan Luo
BDL
OffRL
10
6
0
05 Feb 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
22
3
0
22 Nov 2023
Beyond Average Return in Markov Decision Processes
Beyond Average Return in Markov Decision Processes
Alexandre Marthe
Aurélien Garivier
Claire Vernade
19
4
0
31 Oct 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
14
4
0
04 Jun 2023
Policy Evaluation in Distributional LQR
Policy Evaluation in Distributional LQR
Zifan Wang
Yulong Gao
Si Wang
Michael M. Zavlanos
Alessandro Abate
Karl H. Johansson
OffRL
13
3
0
23 Mar 2023
Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR
Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR
Kaiwen Wang
Nathan Kallus
Wen Sun
89
18
0
07 Feb 2023
Regret Bounds for Markov Decision Processes with Recursive Optimized
  Certainty Equivalents
Regret Bounds for Markov Decision Processes with Recursive Optimized Certainty Equivalents
Wenkun Xu
Xuefeng Gao
X. He
17
10
0
30 Jan 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
21
46
0
06 Nov 2021
Conservative Offline Distributional Reinforcement Learning
Conservative Offline Distributional Reinforcement Learning
Yecheng Jason Ma
Dinesh Jayaraman
Osbert Bastani
OffRL
62
77
0
12 Jul 2021
1