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Evolution Strategies as a Scalable Alternative to Reinforcement Learning

Evolution Strategies as a Scalable Alternative to Reinforcement Learning

10 March 2017
Tim Salimans
Jonathan Ho
Xi Chen
Szymon Sidor
Ilya Sutskever
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Papers citing "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"

15 / 415 papers shown
Title
GitGraph - Architecture Search Space Creation through Frequent
  Computational Subgraph Mining
GitGraph - Architecture Search Space Creation through Frequent Computational Subgraph Mining
Kamil Bennani-Smires
C. Musat
Andreea Hossmann
Michael Baeriswyl
GNN
23
0
0
16 Jan 2018
Global Convergence of Policy Gradient Methods for the Linear Quadratic
  Regulator
Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator
Maryam Fazel
Rong Ge
Sham Kakade
M. Mesbahi
35
597
0
15 Jan 2018
Distributed Deep Reinforcement Learning: Learn how to play Atari games
  in 21 minutes
Distributed Deep Reinforcement Learning: Learn how to play Atari games in 21 minutes
Igor Adamski
R. Adamski
T. Grel
Adam Jedrych
Kamil Kaczmarek
Henryk Michalewski
OffRL
41
37
0
09 Jan 2018
ZOOpt: Toolbox for Derivative-Free Optimization
ZOOpt: Toolbox for Derivative-Free Optimization
Yu-Ren Liu
Yi-Qi Hu
Hong Qian
Chao Qian
Yang Yu
GP
35
28
0
31 Dec 2017
ES Is More Than Just a Traditional Finite-Difference Approximator
ES Is More Than Just a Traditional Finite-Difference Approximator
Joel Lehman
Jay Chen
Jeff Clune
Kenneth O. Stanley
22
89
0
18 Dec 2017
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative
  for Training Deep Neural Networks for Reinforcement Learning
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning
F. Such
Vashisht Madhavan
Edoardo Conti
Joel Lehman
Kenneth O. Stanley
Jeff Clune
47
686
0
18 Dec 2017
On the Relationship Between the OpenAI Evolution Strategy and Stochastic
  Gradient Descent
On the Relationship Between the OpenAI Evolution Strategy and Stochastic Gradient Descent
Xingwen Zhang
Jeff Clune
Kenneth O. Stanley
28
57
0
18 Dec 2017
Comparing Deep Reinforcement Learning and Evolutionary Methods in
  Continuous Control
Comparing Deep Reinforcement Learning and Evolutionary Methods in Continuous Control
Shangtong Zhang
Osmar R. Zaiane
29
10
0
30 Nov 2017
Backpropagation through the Void: Optimizing control variates for
  black-box gradient estimation
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation
Will Grathwohl
Dami Choi
Yuhuai Wu
Geoffrey Roeder
David Duvenaud
56
300
0
31 Oct 2017
Evolution of Convolutional Highway Networks
Evolution of Convolutional Highway Networks
Oliver Kramer
19
11
0
11 Sep 2017
Mean Actor Critic
Mean Actor Critic
Cameron Allen
Kavosh Asadi
Melrose Roderick
Abdel-rahman Mohamed
George Konidaris
Michael Littman
22
44
0
01 Sep 2017
A Brief Survey of Deep Reinforcement Learning
A Brief Survey of Deep Reinforcement Learning
Kai Arulkumaran
M. Deisenroth
Miles Brundage
Anil Anthony Bharath
OffRL
65
2,776
0
19 Aug 2017
Autoencoder-augmented Neuroevolution for Visual Doom Playing
Autoencoder-augmented Neuroevolution for Visual Doom Playing
Samuel Alvernaz
Julian Togelius
31
62
0
12 Jul 2017
Limited-Memory Matrix Adaptation for Large Scale Black-box Optimization
Limited-Memory Matrix Adaptation for Large Scale Black-box Optimization
I. Loshchilov
Tobias Glasmachers
Hans-Georg Beyer
ODL
30
18
0
18 May 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,503
0
25 Jan 2017
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