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Generalized Thompson Sampling for Sequential Decision-Making and Causal
  Inference

Generalized Thompson Sampling for Sequential Decision-Making and Causal Inference

18 March 2013
Pedro A. Ortega
Daniel A. Braun
    CML
ArXiv (abs)PDFHTML

Papers citing "Generalized Thompson Sampling for Sequential Decision-Making and Causal Inference"

8 / 8 papers shown
Title
Reinforcement Learning with Subspaces using Free Energy Paradigm
Reinforcement Learning with Subspaces using Free Energy Paradigm
Milad Ghorbani
Reshad Hosseini
Seyed Pooya Shariatpanahi
M. N. Ahmadabadi
121
0
0
13 Dec 2020
The Two Kinds of Free Energy and the Bayesian Revolution
The Two Kinds of Free Energy and the Bayesian Revolution
Sebastian Gottwald
Daniel A. Braun
3DV
36
33
0
24 Apr 2020
Causal Induction from Visual Observations for Goal Directed Tasks
Causal Induction from Visual Observations for Goal Directed Tasks
Sunjay Cauligi
Yuke Zhu
D. Stefan
Tamara Rezk
CMLLRM
89
65
0
03 Oct 2019
Playing against Nature: causal discovery for decision making under
  uncertainty
Playing against Nature: causal discovery for decision making under uncertainty
Mauricio Gonzalez-Soto
L. Sucar
Hugo Jair Escalante
CML
20
9
0
03 Jul 2018
Nonparametric General Reinforcement Learning
Nonparametric General Reinforcement Learning
Jan Leike
OffRL
105
26
0
28 Nov 2016
Causal Bandits: Learning Good Interventions via Causal Inference
Causal Bandits: Learning Good Interventions via Causal Inference
Finnian Lattimore
Tor Lattimore
Mark D. Reid
CML
62
163
0
10 Jun 2016
Planning with Information-Processing Constraints and Model Uncertainty
  in Markov Decision Processes
Planning with Information-Processing Constraints and Model Uncertainty in Markov Decision Processes
Jordi Grau-Moya
Felix Leibfried
Tim Genewein
Daniel A. Braun
130
28
0
07 Apr 2016
Subjectivity, Bayesianism, and Causality
Subjectivity, Bayesianism, and Causality
Pedro A. Ortega
57
4
0
15 Jul 2014
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