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. 1912.02986
  4. Cited By
How Does an Approximate Model Help in Reinforcement Learning?

How Does an Approximate Model Help in Reinforcement Learning?

6 December 2019
Fei Feng
W. Yin
Lin F. Yang
ArXivPDFHTML

Papers citing "How Does an Approximate Model Help in Reinforcement Learning?"

3 / 3 papers shown
Title
Near-Optimal Sample Complexity Bounds for Constrained MDPs
Near-Optimal Sample Complexity Bounds for Constrained MDPs
Sharan Vaswani
Lin F. Yang
Csaba Szepesvári
46
32
0
13 Jun 2022
Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal
  Sample Complexity
Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity
Kai Zhang
Sham Kakade
Tamer Bacsar
Lin F. Yang
73
120
0
15 Jul 2020
Learning Task Grouping and Overlap in Multi-task Learning
Learning Task Grouping and Overlap in Multi-task Learning
Abhishek Kumar
Hal Daumé
184
526
0
27 Jun 2012
1