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. 2111.10919
  4. Cited By
Offline Reinforcement Learning: Fundamental Barriers for Value Function
  Approximation
v1v2 (latest)

Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation

Annual Conference Computational Learning Theory (COLT), 2021
21 November 2021
Dylan J. Foster
A. Krishnamurthy
D. Simchi-Levi
Yunzong Xu
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation"

3 / 53 papers shown
A Complete Characterization of Linear Estimators for Offline Policy
  Evaluation
A Complete Characterization of Linear Estimators for Offline Policy EvaluationJournal of machine learning research (JMLR), 2022
Juan C. Perdomo
A. Krishnamurthy
Peter L. Bartlett
Sham Kakade
OffRL
262
4
0
08 Mar 2022
Offline Reinforcement Learning with Realizability and Single-policy
  Concentrability
Offline Reinforcement Learning with Realizability and Single-policy ConcentrabilityAnnual Conference Computational Learning Theory (COLT), 2022
Wenhao Zhan
Baihe Huang
Audrey Huang
Nan Jiang
Jason D. Lee
OffRL
620
120
0
09 Feb 2022
Provably Efficient Representation Selection in Low-rank Markov Decision
  Processes: From Online to Offline RL
Provably Efficient Representation Selection in Low-rank Markov Decision Processes: From Online to Offline RLConference on Uncertainty in Artificial Intelligence (UAI), 2021
Weitong Zhang
Jiafan He
Dongruo Zhou
Amy Zhang
Quanquan Gu
OffRL
247
12
0
22 Jun 2021
Previous
12