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World Models

World Models

27 March 2018
David R Ha
Jürgen Schmidhuber
    SyDa
ArXivPDFHTML

Papers citing "World Models"

11 / 261 papers shown
Title
S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State
  Representation Learning
S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning
Antonin Raffin
Ashley Hill
Kalifou René Traoré
Timothée Lesort
Natalia Díaz Rodríguez
David Filliat
OffRL
19
35
0
25 Sep 2018
Combined Reinforcement Learning via Abstract Representations
Combined Reinforcement Learning via Abstract Representations
Vincent François-Lavet
Yoshua Bengio
Doina Precup
Joelle Pineau
OffRL
30
89
0
12 Sep 2018
Visual Reinforcement Learning with Imagined Goals
Visual Reinforcement Learning with Imagined Goals
Ashvin Nair
Vitchyr H. Pong
Murtaza Dalal
Shikhar Bahl
Steven Lin
Sergey Levine
SSL
43
535
0
12 Jul 2018
Learning Deployable Navigation Policies at Kilometer Scale from a Single
  Traversal
Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal
Jake Bruce
Niko Sünderhauf
Piotr Wojciech Mirowski
R. Hadsell
Michael Milford
22
35
0
11 Jul 2018
A survey on policy search algorithms for learning robot controllers in a
  handful of trials
A survey on policy search algorithms for learning robot controllers in a handful of trials
Konstantinos Chatzilygeroudis
Vassilis Vassiliades
F. Stulp
Sylvain Calinon
Jean-Baptiste Mouret
17
155
0
06 Jul 2018
Learning to Drive in a Day
Learning to Drive in a Day
Alex Kendall
Jeffrey Hawke
David Janz
Przemyslaw Mazur
Daniele Reda
John M. Allen
Vinh-Dieu Lam
Alex Bewley
Amar Shah
42
643
0
01 Jul 2018
RUDDER: Return Decomposition for Delayed Rewards
RUDDER: Return Decomposition for Delayed Rewards
Jose A. Arjona-Medina
Michael Gillhofer
Michael Widrich
Thomas Unterthiner
Johannes Brandstetter
Sepp Hochreiter
35
213
0
20 Jun 2018
Temporal Difference Variational Auto-Encoder
Temporal Difference Variational Auto-Encoder
Karol Gregor
George Papamakarios
F. Besse
Lars Buesing
Theophane Weber
DRL
26
126
0
08 Jun 2018
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
Adam R. Kosiorek
Hyunjik Kim
Ingmar Posner
Yee Whye Teh
BDL
29
256
0
05 Jun 2018
State Representation Learning for Control: An Overview
State Representation Learning for Control: An Overview
Timothée Lesort
Natalia Díaz Rodríguez
Jean-François Goudou
David Filliat
OffRL
45
319
0
12 Feb 2018
A Differentiable Physics Engine for Deep Learning in Robotics
A Differentiable Physics Engine for Deep Learning in Robotics
Jonas Degrave
Michiel Hermans
J. Dambre
Francis Wyffels
PINN
AI4CE
32
227
0
05 Nov 2016
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