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. 2405.20664
  4. Cited By
Weak Robust Compatibility Between Learning Algorithms and Counterfactual
  Explanation Generation Algorithms

Weak Robust Compatibility Between Learning Algorithms and Counterfactual Explanation Generation Algorithms

31 May 2024
Ao Xu
Tieru Wu
ArXivPDFHTML

Papers citing "Weak Robust Compatibility Between Learning Algorithms and Counterfactual Explanation Generation Algorithms"

3 / 3 papers shown
Title
BRPO: Batch Residual Policy Optimization
BRPO: Batch Residual Policy Optimization
Kentaro Kanamori
Yinlam Chow
Takuya Takagi
Hiroki Arimura
Honglak Lee
Ken Kobayashi
Craig Boutilier
OffRL
139
46
0
08 Feb 2020
Issues with post-hoc counterfactual explanations: a discussion
Issues with post-hoc counterfactual explanations: a discussion
Thibault Laugel
Marie-Jeanne Lesot
Christophe Marsala
Marcin Detyniecki
CML
107
44
0
11 Jun 2019
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
257
3,684
0
28 Feb 2017
1