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Robust Average-Reward Markov Decision Processes

Robust Average-Reward Markov Decision Processes

2 January 2023
Yue Wang
Alvaro Velasquez
George K. Atia
Ashley Prater-Bennette
Shaofeng Zou
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Papers citing "Robust Average-Reward Markov Decision Processes"

15 / 15 papers shown
Title
Qualitative Analysis of $ω$-Regular Objectives on Robust MDPs
Qualitative Analysis of ωωω-Regular Objectives on Robust MDPs
Ali Asadi
Krishnendu Chatterjee
Ehsan Kafshdar Goharshady
Mehrdad Karrabi
Ali Shafiee
50
0
0
07 May 2025
Planning and Learning in Average Risk-aware MDPs
Planning and Learning in Average Risk-aware MDPs
Weikai Wang
Erick Delage
53
0
0
22 Mar 2025
Playing against a stationary opponent
Playing against a stationary opponent
Julien Grand-Clément
Nicolas Vieille
46
0
0
19 Mar 2025
Finite-Sample Analysis of Policy Evaluation for Robust Average Reward Reinforcement Learning
Yang Xu
Washim Uddin Mondal
Vaneet Aggarwal
OffRL
43
0
0
24 Feb 2025
Constrained Reinforcement Learning Under Model Mismatch
Constrained Reinforcement Learning Under Model Mismatch
Zhongchang Sun
Sihong He
Fei Miao
Shaofeng Zou
46
4
0
02 May 2024
Solving Robust MDPs through No-Regret Dynamics
Solving Robust MDPs through No-Regret Dynamics
E. Guha
30
0
0
30 May 2023
Model-Free Robust Average-Reward Reinforcement Learning
Model-Free Robust Average-Reward Reinforcement Learning
Yue Wang
Alvaro Velasquez
George K. Atia
Ashley Prater-Bennette
Shaofeng Zou
32
9
0
17 May 2023
Connected Superlevel Set in (Deep) Reinforcement Learning and its
  Application to Minimax Theorems
Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems
Sihan Zeng
Thinh T. Doan
J. Romberg
OffRL
27
3
0
23 Mar 2023
Reducing Blackwell and Average Optimality to Discounted MDPs via the
  Blackwell Discount Factor
Reducing Blackwell and Average Optimality to Discounted MDPs via the Blackwell Discount Factor
Julien Grand-Clément
Marko Petrik
30
13
0
31 Jan 2023
Single-Trajectory Distributionally Robust Reinforcement Learning
Single-Trajectory Distributionally Robust Reinforcement Learning
Zhipeng Liang
Xiaoteng Ma
Jose H. Blanchet
Jiheng Zhang
Zhengyuan Zhou
OOD
OffRL
37
11
0
27 Jan 2023
Policy Gradient Method For Robust Reinforcement Learning
Policy Gradient Method For Robust Reinforcement Learning
Yue Wang
Shaofeng Zou
81
67
0
15 May 2022
Learning Infinite-Horizon Average-Reward Markov Decision Processes with
  Constraints
Learning Infinite-Horizon Average-Reward Markov Decision Processes with Constraints
Liyu Chen
R. Jain
Haipeng Luo
57
25
0
31 Jan 2022
Twice regularized MDPs and the equivalence between robustness and
  regularization
Twice regularized MDPs and the equivalence between robustness and regularization
E. Derman
M. Geist
Shie Mannor
53
52
0
12 Oct 2021
Online Robust Reinforcement Learning with Model Uncertainty
Online Robust Reinforcement Learning with Model Uncertainty
Yue Wang
Shaofeng Zou
OOD
OffRL
76
96
0
29 Sep 2021
Model-free Reinforcement Learning in Infinite-horizon Average-reward
  Markov Decision Processes
Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes
Chen-Yu Wei
Mehdi Jafarnia-Jahromi
Haipeng Luo
Hiteshi Sharma
R. Jain
107
99
0
15 Oct 2019
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