ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1705.07312
  4. Cited By
Lower Bound On the Computational Complexity of Discounted Markov
  Decision Problems

Lower Bound On the Computational Complexity of Discounted Markov Decision Problems

20 May 2017
Yichen Chen
Mengdi Wang
ArXiv (abs)PDFHTML

Papers citing "Lower Bound On the Computational Complexity of Discounted Markov Decision Problems"

4 / 4 papers shown
On the hardness of RL with Lookahead
On the hardness of RL with Lookahead
Corentin Pla
Hugo Richard
Marc Abeille
Nadav Merlis
Vianney Perchet
84
0
0
22 Oct 2025
Doubly-Asynchronous Value Iteration: Making Value Iteration Asynchronous
  in Actions
Doubly-Asynchronous Value Iteration: Making Value Iteration Asynchronous in ActionsNeural Information Processing Systems (NeurIPS), 2022
Tian Tian
K. Young
R. Sutton
216
1
0
04 Jul 2022
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
274
136
0
27 Oct 2017
Primal-Dual $π$ Learning: Sample Complexity and Sublinear Run Time for
  Ergodic Markov Decision Problems
Primal-Dual πππ Learning: Sample Complexity and Sublinear Run Time for Ergodic Markov Decision Problems
Mengdi Wang
233
71
0
17 Oct 2017
1