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Constructing Effective Personalized Policies Using Counterfactual
  Inference from Biased Data Sets with Many Features
v1v2v3 (latest)

Constructing Effective Personalized Policies Using Counterfactual Inference from Biased Data Sets with Many Features

23 December 2016
Onur Atan
W. Zame
Qiaojun Feng
M. Schaar
    OffRLCML
ArXiv (abs)PDFHTML

Papers citing "Constructing Effective Personalized Policies Using Counterfactual Inference from Biased Data Sets with Many Features"

4 / 4 papers shown
Title
Abstract Counterfactuals for Language Model Agents
Abstract Counterfactuals for Language Model Agents
Edoardo Pona
Milad Kazemi
Yali Du
David Watson
Nicola Paoletti
LLMAG
64
0
0
03 Jun 2025
Exploiting Relevance for Online Decision-Making in High-Dimensions
Exploiting Relevance for Online Decision-Making in High-Dimensions
E. Turğay
Cem Bulucu
Cem Tekin
54
4
0
01 Jul 2019
Deconfounding Reinforcement Learning in Observational Settings
Deconfounding Reinforcement Learning in Observational Settings
Chaochao Lu
Bernhard Schölkopf
José Miguel Hernández-Lobato
CMLOOD
173
75
0
26 Dec 2018
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search
Lars Buesing
T. Weber
Yori Zwols
S. Racanière
A. Guez
Jean-Baptiste Lespiau
N. Heess
CML
121
138
0
15 Nov 2018
1