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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

6 July 2018
Konstantinos Chatzilygeroudis
Vassilis Vassiliades
F. Stulp
Sylvain Calinon
Jean-Baptiste Mouret
ArXivPDFHTML

Papers citing "A survey on policy search algorithms for learning robot controllers in a handful of trials"

24 / 74 papers shown
Title
Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning
  and Large-Scale Data Collection
Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection
Sergey Levine
P. Pastor
A. Krizhevsky
Deirdre Quillen
134
2,069
0
07 Mar 2016
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
150
8,805
0
04 Feb 2016
Data-Efficient Learning of Feedback Policies from Image Pixels using
  Deep Dynamical Models
Data-Efficient Learning of Feedback Policies from Image Pixels using Deep Dynamical Models
Yannis Assael
Niklas Wahlström
Thomas B. Schon
M. Deisenroth
39
37
0
08 Oct 2015
Learning Deep Control Policies for Autonomous Aerial Vehicles with
  MPC-Guided Policy Search
Learning Deep Control Policies for Autonomous Aerial Vehicles with MPC-Guided Policy Search
Tianhao Zhang
G. Kahn
Sergey Levine
Pieter Abbeel
45
427
0
22 Sep 2015
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
141
13,174
0
09 Sep 2015
Safe Controller Optimization for Quadrotors with Gaussian Processes
Safe Controller Optimization for Quadrotors with Gaussian Processes
Felix Berkenkamp
Angela P. Schoellig
Andreas Krause
26
299
0
03 Sep 2015
Action-Conditional Video Prediction using Deep Networks in Atari Games
Action-Conditional Video Prediction using Deep Networks in Atari Games
Junhyuk Oh
Xiaoxiao Guo
Honglak Lee
Richard L. Lewis
Satinder Singh
64
852
0
31 Jul 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
415
9,233
0
06 Jun 2015
Illuminating search spaces by mapping elites
Illuminating search spaces by mapping elites
Jean-Baptiste Mouret
Jeff Clune
46
728
0
20 Apr 2015
End-to-End Training of Deep Visuomotor Policies
End-to-End Training of Deep Visuomotor Policies
Sergey Levine
Chelsea Finn
Trevor Darrell
Pieter Abbeel
BDL
177
3,418
0
02 Apr 2015
High Dimensional Bayesian Optimisation and Bandits via Additive Models
High Dimensional Bayesian Optimisation and Bandits via Additive Models
Kirthevasan Kandasamy
J. Schneider
Barnabás Póczós
34
350
0
05 Mar 2015
Trust Region Policy Optimization
Trust Region Policy Optimization
John Schulman
Sergey Levine
Philipp Moritz
Michael I. Jordan
Pieter Abbeel
221
6,722
0
19 Feb 2015
Gaussian Processes for Data-Efficient Learning in Robotics and Control
Gaussian Processes for Data-Efficient Learning in Robotics and Control
M. Deisenroth
Dieter Fox
C. Rasmussen
70
688
0
10 Feb 2015
A Flexible and Robust Large Scale Capacitive Tactile System for Robots
A Flexible and Robust Large Scale Capacitive Tactile System for Robots
P. Maiolino
M. Maggiali
G. Cannata
Giorgio Metta
Lorenzo Natale
22
211
0
25 Nov 2014
Robots that can adapt like animals
Robots that can adapt like animals
Antoine Cully
Jeff Clune
Danesh Tarapore
Jean-Baptiste Mouret
49
1,032
0
13 Jul 2014
Model-Based Policy Gradients with Parameter-Based Exploration by
  Least-Squares Conditional Density Estimation
Model-Based Policy Gradients with Parameter-Based Exploration by Least-Squares Conditional Density Estimation
Syogo Mori
Voot Tangkaratt
Tingting Zhao
Jun Morimoto
Masashi Sugiyama
OffRL
43
27
0
19 Jul 2013
Fast Damage Recovery in Robotics with the T-Resilience Algorithm
Fast Damage Recovery in Robotics with the T-Resilience Algorithm
S. Koos
Antoine Cully
Jean-Baptiste Mouret
48
40
0
02 Feb 2013
PEGASUS: A Policy Search Method for Large MDPs and POMDPs
PEGASUS: A Policy Search Method for Large MDPs and POMDPs
A. Ng
Michael I. Jordan
38
496
0
16 Jan 2013
Bayesian Optimization in a Billion Dimensions via Random Embeddings
Bayesian Optimization in a Billion Dimensions via Random Embeddings
Ziyun Wang
Frank Hutter
M. Zoghi
David Matheson
Nando de Freitas
150
439
0
09 Jan 2013
Learning Parameterized Skills
Learning Parameterized Skills
Bruno C. da Silva
George Konidaris
A. Barto
64
207
0
27 Jun 2012
Off-Policy Actor-Critic
Off-Policy Actor-Critic
T. Degris
Martha White
R. Sutton
OffRL
CML
205
220
0
22 May 2012
Entropy Search for Information-Efficient Global Optimization
Entropy Search for Information-Efficient Global Optimization
Philipp Hennig
Christian J. Schuler
80
671
0
06 Dec 2011
Sampling-based Algorithms for Optimal Motion Planning
Sampling-based Algorithms for Optimal Motion Planning
S. Karaman
Emilio Frazzoli
58
4,660
0
05 May 2011
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with
  Application to Active User Modeling and Hierarchical Reinforcement Learning
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning
E. Brochu
Vlad M. Cora
Nando de Freitas
GP
94
2,437
0
12 Dec 2010
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