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Continuous Deep Q-Learning with Model-based Acceleration

Continuous Deep Q-Learning with Model-based Acceleration

2 March 2016
S. Gu
Timothy Lillicrap
Ilya Sutskever
Sergey Levine
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Papers citing "Continuous Deep Q-Learning with Model-based Acceleration"

16 / 166 papers shown
Title
Imagination-Augmented Agents for Deep Reinforcement Learning
Imagination-Augmented Agents for Deep Reinforcement Learning
T. Weber
S. Racanière
David P. Reichert
Lars Buesing
A. Guez
...
Razvan Pascanu
Peter W. Battaglia
Demis Hassabis
David Silver
Daan Wierstra
LM&Ro
51
551
0
19 Jul 2017
Hindsight Experience Replay
Hindsight Experience Replay
Marcin Andrychowicz
Dwight Crow
Alex Ray
Jonas Schneider
Rachel Fong
Peter Welinder
Bob McGrew
Joshua Tobin
Pieter Abbeel
Wojciech Zaremba
OffRL
84
2,293
0
05 Jul 2017
Data-efficient Deep Reinforcement Learning for Dexterous Manipulation
Data-efficient Deep Reinforcement Learning for Dexterous Manipulation
I. Popov
N. Heess
Timothy Lillicrap
Roland Hafner
Gabriel Barth-Maron
Matej Vecerík
Thomas Lampe
Yuval Tassa
Tom Erez
Martin Riedmiller
OffRL
17
263
0
10 Apr 2017
Combining Neural Networks and Tree Search for Task and Motion Planning
  in Challenging Environments
Combining Neural Networks and Tree Search for Task and Motion Planning in Challenging Environments
Chris Paxton
Vasumathi Raman
Gregory Hager
Marin Kobilarov
24
123
0
22 Mar 2017
Combining Model-Based and Model-Free Updates for Trajectory-Centric
  Reinforcement Learning
Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning
Yevgen Chebotar
Karol Hausman
Marvin Zhang
Gaurav Sukhatme
S. Schaal
Sergey Levine
19
159
0
08 Mar 2017
Deep Reinforcement Learning for Robotic Manipulation-The state of the
  art
Deep Reinforcement Learning for Robotic Manipulation-The state of the art
S. Amarjyoti
18
65
0
31 Jan 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,503
0
25 Jan 2017
A Deep Learning Approach for Joint Video Frame and Reward Prediction in
  Atari Games
A Deep Learning Approach for Joint Video Frame and Reward Prediction in Atari Games
Felix Leibfried
Nate Kushman
Katja Hofmann
46
43
0
21 Nov 2016
Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic
Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic
S. Gu
Timothy Lillicrap
Zoubin Ghahramani
Richard Turner
Sergey Levine
OffRL
BDL
13
342
0
07 Nov 2016
Learning and Transfer of Modulated Locomotor Controllers
Learning and Transfer of Modulated Locomotor Controllers
N. Heess
Greg Wayne
Yuval Tassa
Timothy Lillicrap
Martin Riedmiller
David Silver
21
207
0
17 Oct 2016
Sim-to-Real Robot Learning from Pixels with Progressive Nets
Sim-to-Real Robot Learning from Pixels with Progressive Nets
Andrei A. Rusu
Matej Vecerík
Thomas Rothörl
N. Heess
Razvan Pascanu
R. Hadsell
34
532
0
13 Oct 2016
Towards Cognitive Exploration through Deep Reinforcement Learning for
  Mobile Robots
Towards Cognitive Exploration through Deep Reinforcement Learning for Mobile Robots
L. Tai
Ming Liu
13
103
0
06 Oct 2016
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
187
601
0
22 Sep 2016
Towards Deep Symbolic Reinforcement Learning
Towards Deep Symbolic Reinforcement Learning
M. Garnelo
Kai Arulkumaran
Murray Shanahan
30
225
0
18 Sep 2016
Actor-critic versus direct policy search: a comparison based on sample
  complexity
Actor-critic versus direct policy search: a comparison based on sample complexity
Arnaud de Froissard de Broissia
Olivier Sigaud
23
12
0
29 Jun 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
97
3,647
0
26 May 2016
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