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The Value Iteration Algorithm is Not Strongly Polynomial for Discounted
  Dynamic Programming

The Value Iteration Algorithm is Not Strongly Polynomial for Discounted Dynamic Programming

Operations Research Letters (ORL), 2013
19 December 2013
E. Feinberg
Jefferson Huang
ArXiv (abs)PDFHTML

Papers citing "The Value Iteration Algorithm is Not Strongly Polynomial for Discounted Dynamic Programming"

5 / 5 papers shown
Revisiting Value Iteration: Unified Analysis of Discounted and Average-Reward Cases
Revisiting Value Iteration: Unified Analysis of Discounted and Average-Reward Cases
Arsenii Mustafin
Xinyi Sheng
Dominik Baumann
38
0
0
27 Oct 2025
On the Hardness of Reinforcement Learning with Transition Look-Ahead
On the Hardness of Reinforcement Learning with Transition Look-Ahead
Corentin Pla
Hugo Richard
Marc Abeille
Nadav Merlis
Vianney Perchet
118
1
0
22 Oct 2025
Geometric Re-Analysis of Classical MDP Solving Algorithms
Geometric Re-Analysis of Classical MDP Solving Algorithms
Arsenii Mustafin
Aleksei Pakharev
Alex Olshevsky
I. Paschalidis
168
1
0
06 Mar 2025
Variance Reduced Value Iteration and Faster Algorithms for Solving
  Markov Decision Processes
Variance Reduced Value Iteration and Faster Algorithms for Solving Markov Decision ProcessesACM-SIAM Symposium on Discrete Algorithms (SODA), 2017
Aaron Sidford
Mengdi Wang
X. Wu
Yinyu Ye
352
142
0
27 Oct 2017
Lower Bound On the Computational Complexity of Discounted Markov
  Decision Problems
Lower Bound On the Computational Complexity of Discounted Markov Decision Problems
Yichen Chen
Mengdi Wang
225
19
0
20 May 2017
1
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