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Policy Search in Continuous Action Domains: an Overview
v1v2v3v4v5 (latest)

Policy Search in Continuous Action Domains: an Overview

13 March 2018
Olivier Sigaud
F. Stulp
ArXiv (abs)PDFHTML

Papers citing "Policy Search in Continuous Action Domains: an Overview"

14 / 64 papers shown
Title
Hierarchical Deep Reinforcement Learning: Integrating Temporal
  Abstraction and Intrinsic Motivation
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
Tejas D. Kulkarni
Karthik Narasimhan
A. Saeedi
J. Tenenbaum
71
1,137
0
20 Apr 2016
Continuous Deep Q-Learning with Model-based Acceleration
Continuous Deep Q-Learning with Model-based Acceleration
S. Gu
Timothy Lillicrap
Ilya Sutskever
Sergey Levine
91
1,013
0
02 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
202
8,875
0
04 Feb 2016
Prioritized Experience Replay
Prioritized Experience Replay
Tom Schaul
John Quan
Ioannis Antonoglou
David Silver
OffRL
223
3,797
0
18 Nov 2015
Deep Reinforcement Learning with Double Q-learning
Deep Reinforcement Learning with Double Q-learning
H. V. Hasselt
A. Guez
David Silver
OffRL
170
7,658
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
323
13,272
0
09 Sep 2015
Trust Region Policy Optimization
Trust Region Policy Optimization
John Schulman
Sergey Levine
Philipp Moritz
Michael I. Jordan
Pieter Abbeel
277
6,793
0
19 Feb 2015
A Unified Perspective on Multi-Domain and Multi-Task Learning
A Unified Perspective on Multi-Domain and Multi-Task Learning
Yongxin Yang
Timothy M. Hospedales
94
163
0
23 Dec 2014
Robots that can adapt like animals
Robots that can adapt like animals
Antoine Cully
Jeff Clune
Danesh Tarapore
Jean-Baptiste Mouret
101
1,038
0
13 Jul 2014
Active Learning of Inverse Models with Intrinsically Motivated Goal
  Exploration in Robots
Active Learning of Inverse Models with Intrinsically Motivated Goal Exploration in Robots
Adrien Baranes
Pierre-Yves Oudeyer
150
442
0
21 Jan 2013
Efficient Natural Evolution Strategies
Efficient Natural Evolution Strategies
Yi Sun
Daan Wierstra
Tom Schaul
Jürgen Schmidhuber
83
122
0
26 Sep 2012
Path Integral Policy Improvement with Covariance Matrix Adaptation
Path Integral Policy Improvement with Covariance Matrix Adaptation
F. Stulp
Olivier Sigaud
84
209
0
18 Jun 2012
Infinite-Horizon Policy-Gradient Estimation
Infinite-Horizon Policy-Gradient Estimation
Jonathan Baxter
Peter L. Bartlett
100
812
0
03 Jun 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
138
2,449
0
12 Dec 2010
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