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Correlation Priors for Reinforcement Learning

Correlation Priors for Reinforcement Learning

11 September 2019
Bastian Alt
Adrian Šošić
Heinz Koeppl
    OffRL
ArXivPDFHTML

Papers citing "Correlation Priors for Reinforcement Learning"

11 / 11 papers shown
Title
Correlated Multi-armed Bandits with a Latent Random Source
Correlated Multi-armed Bandits with a Latent Random Source
Samarth Gupta
Gauri Joshi
Osman Yağan
44
22
0
17 Aug 2018
Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal
  Modeling
Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling
Adrian Šošić
Elmar Rueckert
Jan Peters
A. Zoubir
Heinz Koeppl
OffRL
26
9
0
01 Mar 2018
Reinforcement and Imitation Learning for Diverse Visuomotor Skills
Reinforcement and Imitation Learning for Diverse Visuomotor Skills
Yuke Zhu
Ziyun Wang
J. Merel
Andrei A. Rusu
Tom Erez
...
S. Tunyasuvunakool
János Kramár
R. Hadsell
Nando de Freitas
N. Heess
SSL
89
319
0
26 Feb 2018
Efficient Gaussian Process Classification Using Polya-Gamma Data
  Augmentation
Efficient Gaussian Process Classification Using Polya-Gamma Data Augmentation
F. Wenzel
Théo Galy-Fajou
Christian Donner
Marius Kloft
Manfred Opper
55
36
0
18 Feb 2018
Robust and Efficient Transfer Learning with Hidden-Parameter Markov
  Decision Processes
Robust and Efficient Transfer Learning with Hidden-Parameter Markov Decision Processes
Taylor W. Killian
Samuel Daulton
George Konidaris
Finale Doshi-Velez
89
106
0
20 Jun 2017
A Bayesian Approach to Policy Recognition and State Representation
  Learning
A Bayesian Approach to Policy Recognition and State Representation Learning
Adrian Šošić
A. Zoubir
Heinz Koeppl
24
9
0
04 May 2016
Variational Inference: A Review for Statisticians
Variational Inference: A Review for Statisticians
David M. Blei
A. Kucukelbir
Jon D. McAuliffe
BDL
264
4,787
0
04 Jan 2016
Dependent Multinomial Models Made Easy: Stick Breaking with the
  Pólya-Gamma Augmentation
Dependent Multinomial Models Made Easy: Stick Breaking with the Pólya-Gamma Augmentation
Scott W. Linderman
Matthew J. Johnson
Ryan P. Adams
45
98
0
18 Jun 2015
(More) Efficient Reinforcement Learning via Posterior Sampling
(More) Efficient Reinforcement Learning via Posterior Sampling
Ian Osband
Daniel Russo
Benjamin Van Roy
116
533
0
04 Jun 2013
Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based
  Search
Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search
A. Guez
David Silver
Peter Dayan
83
173
0
14 May 2012
Preference elicitation and inverse reinforcement learning
Preference elicitation and inverse reinforcement learning
Constantin Rothkopf
Christos Dimitrakakis
BDL
74
82
0
29 Apr 2011
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