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

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2211.02016
  4. Cited By
Oracle Inequalities for Model Selection in Offline Reinforcement
  Learning

Oracle Inequalities for Model Selection in Offline Reinforcement Learning

3 November 2022
Jonathan Lee
George Tucker
Ofir Nachum
Bo Dai
Emma Brunskill
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Oracle Inequalities for Model Selection in Offline Reinforcement Learning"

10 / 10 papers shown
Title
OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates
  of Multiple Estimators
OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators
Allen Nie
Yash Chandak
Christina J. Yuan
Anirudhan Badrinath
Yannis Flet-Berliac
Emma Brunskil
OffRL
116
3
0
27 May 2024
Reward-Relevance-Filtered Linear Offline Reinforcement Learning
Reward-Relevance-Filtered Linear Offline Reinforcement Learning
Angela Zhou
OffRL
134
3
0
23 Jan 2024
When is Offline Policy Selection Sample Efficient for Reinforcement
  Learning?
When is Offline Policy Selection Sample Efficient for Reinforcement Learning?
Vincent Liu
P. Nagarajan
Andrew Patterson
Martha White
OffRL
130
3
0
04 Dec 2023
Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy
  Evaluation
Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation
Haruka Kiyohara
Ren Kishimoto
K. Kawakami
Ken Kobayashi
Kazuhide Nakata
Yuta Saito
OffRL
203
11
0
30 Nov 2023
SCOPE-RL: A Python Library for Offline Reinforcement Learning and
  Off-Policy Evaluation
SCOPE-RL: A Python Library for Offline Reinforcement Learning and Off-Policy Evaluation
Haruka Kiyohara
Ren Kishimoto
K. Kawakami
Ken Kobayashi
Kazuhide Nakata
Yuta Saito
OffRLELM
187
4
0
30 Nov 2023
Off-Policy Evaluation for Large Action Spaces via Policy Convolution
Off-Policy Evaluation for Large Action Spaces via Policy Convolution
Noveen Sachdeva
Lequn Wang
Dawen Liang
Nathan Kallus
Julian McAuley
OffRL
107
17
0
24 Oct 2023
Towards Robust Multi-Modal Reasoning via Model Selection
Towards Robust Multi-Modal Reasoning via Model Selection
Xiangyan Liu
Rongxue Li
Wei Ji
Tao Lin
LLMAGLRM
142
6
0
12 Oct 2023
Estimating Optimal Policy Value in General Linear Contextual Bandits
Estimating Optimal Policy Value in General Linear Contextual Bandits
Jonathan Lee
Weihao Kong
Aldo Pacchiano
Vidya Muthukumar
Emma Brunskill
90
0
0
19 Feb 2023
Revisiting Bellman Errors for Offline Model Selection
Revisiting Bellman Errors for Offline Model Selection
Joshua P. Zitovsky
Daniel de Marchi
Rishabh Agarwal
Michael R. Kosorok University of North Carolina at Chapel Hill
OffRL
132
5
0
31 Jan 2023
Learning in POMDPs is Sample-Efficient with Hindsight Observability
Learning in POMDPs is Sample-Efficient with Hindsight Observability
Jonathan Lee
Alekh Agarwal
Christoph Dann
Tong Zhang
140
23
0
31 Jan 2023
1