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Evolved Policy Gradients

Evolved Policy Gradients

13 February 2018
Rein Houthooft
Richard Y. Chen
Phillip Isola
Bradly C. Stadie
Filip Wolski
Jonathan Ho
Pieter Abbeel
ArXivPDFHTML

Papers citing "Evolved Policy Gradients"

10 / 160 papers shown
Title
Understanding and correcting pathologies in the training of learned
  optimizers
Understanding and correcting pathologies in the training of learned optimizers
Luke Metz
Niru Maheswaranathan
Jeremy Nixon
C. Freeman
Jascha Narain Sohl-Dickstein
ODL
20
149
0
24 Oct 2018
Deep Reinforcement Learning
Deep Reinforcement Learning
Yuxi Li
VLM
OffRL
28
144
0
15 Oct 2018
A Data-Efficient Framework for Training and Sim-to-Real Transfer of
  Navigation Policies
A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies
Homanga Bharadhwaj
Zihan Wang
Yoshua Bengio
Liam Paull
24
40
0
11 Oct 2018
CEM-RL: Combining evolutionary and gradient-based methods for policy
  search
CEM-RL: Combining evolutionary and gradient-based methods for policy search
Aloïs Pourchot
Olivier Sigaud
22
159
0
02 Oct 2018
Guided evolutionary strategies: Augmenting random search with surrogate
  gradients
Guided evolutionary strategies: Augmenting random search with surrogate gradients
Niru Maheswaranathan
Luke Metz
George Tucker
Dami Choi
Jascha Narain Sohl-Dickstein
9
20
0
26 Jun 2018
Unsupervised Meta-Learning for Reinforcement Learning
Unsupervised Meta-Learning for Reinforcement Learning
Abhishek Gupta
Benjamin Eysenbach
Chelsea Finn
Sergey Levine
SSL
OffRL
46
106
0
12 Jun 2018
Deep Curiosity Search: Intra-Life Exploration Can Improve Performance on
  Challenging Deep Reinforcement Learning Problems
Deep Curiosity Search: Intra-Life Exploration Can Improve Performance on Challenging Deep Reinforcement Learning Problems
C. Stanton
Jeff Clune
LRM
25
41
0
01 Jun 2018
Meta-Learning Update Rules for Unsupervised Representation Learning
Meta-Learning Update Rules for Unsupervised Representation Learning
Luke Metz
Niru Maheswaranathan
Brian Cheung
Jascha Narain Sohl-Dickstein
SSL
OOD
15
121
0
31 Mar 2018
Building machines that adapt and compute like brains
Building machines that adapt and compute like brains
Brenden Lake
J. Tenenbaum
AI4CE
FedML
NAI
AILaw
254
890
0
11 Nov 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
341
11,684
0
09 Mar 2017
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