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. 2402.06151
  4. Cited By
POTEC: Off-Policy Learning for Large Action Spaces via Two-Stage Policy
  Decomposition

POTEC: Off-Policy Learning for Large Action Spaces via Two-Stage Policy Decomposition

9 February 2024
Yuta Saito
Jihan Yao
Thorsten Joachims
    OffRL
ArXivPDFHTML

Papers citing "POTEC: Off-Policy Learning for Large Action Spaces via Two-Stage Policy Decomposition"

4 / 4 papers shown
Title
DOLCE: Decomposing Off-Policy Evaluation/Learning into Lagged and Current Effects
DOLCE: Decomposing Off-Policy Evaluation/Learning into Lagged and Current Effects
Shu Tamano
Masanori Nojima
OffRL
37
0
0
02 May 2025
Prompt Optimization with Logged Bandit Data
Prompt Optimization with Logged Bandit Data
Haruka Kiyohara
Daniel Yiming Cao
Yuta Saito
Thorsten Joachims
61
0
0
03 Apr 2025
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
21
12
0
24 Oct 2023
Double Reinforcement Learning for Efficient Off-Policy Evaluation in
  Markov Decision Processes
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes
Nathan Kallus
Masatoshi Uehara
OffRL
31
180
0
22 Aug 2019
1