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1802.01561
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IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
5 February 2018
L. Espeholt
Hubert Soyer
Rémi Munos
Karen Simonyan
Volodymyr Mnih
Tom Ward
Yotam Doron
Vlad Firoiu
Tim Harley
Iain Dunning
Shane Legg
Koray Kavukcuoglu
Re-assign community
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Papers citing
"IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures"
31 / 981 papers shown
Title
Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies
Alessandro Achille
Tom Eccles
Loic Matthey
Christopher P. Burgess
Nicholas Watters
Alexander Lerchner
I. Higgins
BDL
29
119
0
20 Aug 2018
Multi-Agent Generative Adversarial Imitation Learning
Jiaming Song
Hongyu Ren
Dorsa Sadigh
Stefano Ermon
GAN
27
216
0
26 Jul 2018
General Value Function Networks
M. Schlegel
Andrew Jacobsen
Zaheer Abbas
Andrew Patterson
Adam White
Martha White
32
30
0
18 Jul 2018
Remember and Forget for Experience Replay
G. Novati
Petros Koumoutsakos
OffRL
35
90
0
16 Jul 2018
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRL
SSL
44
10,033
0
10 Jul 2018
Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing
Chen Liang
Mohammad Norouzi
Jonathan Berant
Quoc V. Le
Ni Lao
19
134
0
06 Jul 2018
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion
Jacob Buckman
Danijar Hafner
George Tucker
E. Brevdo
Honglak Lee
22
328
0
04 Jul 2018
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning
Max Jaderberg
Wojciech M. Czarnecki
Iain Dunning
Luke Marris
Guy Lever
...
Joel Z. Leibo
David Silver
Demis Hassabis
Koray Kavukcuoglu
T. Graepel
OffRL
43
714
0
03 Jul 2018
Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization
Xiangxiang Chu
20
9
0
02 Jul 2018
Illuminating Generalization in Deep Reinforcement Learning through Procedural Level Generation
Niels Justesen
R. Torrado
Philip Bontrager
Ahmed Khalifa
Julian Togelius
S. Risi
28
181
0
28 Jun 2018
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
Dmitry Kalashnikov
A. Irpan
P. Pastor
Julian Ibarz
Alexander Herzog
...
Deirdre Quillen
E. Holly
Mrinal Kalakrishnan
Vincent Vanhoucke
Sergey Levine
27
1,447
0
27 Jun 2018
RUDDER: Return Decomposition for Delayed Rewards
Jose A. Arjona-Medina
Michael Gillhofer
Michael Widrich
Thomas Unterthiner
Johannes Brandstetter
Sepp Hochreiter
30
212
0
20 Jun 2018
Relational Deep Reinforcement Learning
V. Zambaldi
David Raposo
Adam Santoro
V. Bapst
Yujia Li
...
Victoria Langston
Razvan Pascanu
M. Botvinick
Oriol Vinyals
Peter W. Battaglia
OffRL
24
219
0
05 Jun 2018
Relational recurrent neural networks
Adam Santoro
Ryan Faulkner
David Raposo
Jack W. Rae
Mike Chrzanowski
T. Weber
Daan Wierstra
Oriol Vinyals
Razvan Pascanu
Timothy Lillicrap
GNN
30
209
0
05 Jun 2018
Mix&Match - Agent Curricula for Reinforcement Learning
Wojciech M. Czarnecki
Siddhant M. Jayakumar
Max Jaderberg
Leonard Hasenclever
Yee Whye Teh
Simon Osindero
N. Heess
Razvan Pascanu
8
71
0
05 Jun 2018
Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation
Shani Gamrian
Yoav Goldberg
27
105
0
31 May 2018
Playing hard exploration games by watching YouTube
Y. Aytar
Tobias Pfaff
David Budden
T. Paine
Ziyun Wang
Nando de Freitas
35
269
0
29 May 2018
Meta-Gradient Reinforcement Learning
Zhongwen Xu
H. V. Hasselt
David Silver
41
324
0
24 May 2018
Evolution-Guided Policy Gradient in Reinforcement Learning
Shauharda Khadka
Kagan Tumer
19
224
0
21 May 2018
Low-pass Recurrent Neural Networks - A memory architecture for longer-term correlation discovery
T. Stepleton
Razvan Pascanu
Will Dabney
Siddhant M. Jayakumar
Hubert Soyer
Rémi Munos
16
4
0
13 May 2018
Combating catastrophic forgetting with developmental compression
Shawn L. E. Beaulieu
Sam Kriegman
Josh Bongard
25
4
0
12 Apr 2018
Synthesizing Programs for Images using Reinforced Adversarial Learning
Yaroslav Ganin
Tejas D. Kulkarni
Igor Babuschkin
A. Eslami
Oriol Vinyals
GAN
12
229
0
03 Apr 2018
Learning to Navigate in Cities Without a Map
Piotr Wojciech Mirowski
Matthew Koichi Grimes
Mateusz Malinowski
Karl Moritz Hermann
Keith Anderson
Denis Teplyashin
Karen Simonyan
Koray Kavukcuoglu
Andrew Zisserman
R. Hadsell
SSL
HAI
39
316
0
31 Mar 2018
Kickstarting Deep Reinforcement Learning
Simon Schmitt
Jonathan J. Hudson
Augustin Žídek
Simon Osindero
Carl Doersch
...
Joel Z. Leibo
Heinrich Küttler
Andrew Zisserman
Karen Simonyan
S. M. Ali Eslami
OnRL
19
130
0
10 Mar 2018
Accelerated Methods for Deep Reinforcement Learning
Adam Stooke
Pieter Abbeel
OffRL
OnRL
25
133
0
07 Mar 2018
Addressing Function Approximation Error in Actor-Critic Methods
Scott Fujimoto
H. V. Hoof
David Meger
OffRL
22
5,063
0
26 Feb 2018
Unicorn: Continual Learning with a Universal, Off-policy Agent
D. Mankowitz
Augustin Žídek
André Barreto
Dan Horgan
Matteo Hessel
John Quan
Junhyuk Oh
H. V. Hasselt
David Silver
Tom Schaul
CLL
OffRL
33
48
0
22 Feb 2018
Solutions to problems with deep learning
J. Wolff
32
10
0
08 Jan 2018
RLlib: Abstractions for Distributed Reinforcement Learning
Eric Liang
Richard Liaw
Philipp Moritz
Robert Nishihara
Roy Fox
Ken Goldberg
Joseph E. Gonzalez
Michael I. Jordan
Ion Stoica
OffRL
AI4CE
31
173
0
26 Dec 2017
Deep Learning for Video Game Playing
Niels Justesen
Philip Bontrager
Julian Togelius
S. Risi
VLM
24
206
0
25 Aug 2017
A Survey on Multi-Task Learning
Yu Zhang
Qiang Yang
AIMat
27
2,168
0
25 Jul 2017
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