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1711.09846
Cited By
Population Based Training of Neural Networks
27 November 2017
Max Jaderberg
Valentin Dalibard
Simon Osindero
Wojciech M. Czarnecki
Jeff Donahue
Ali Razavi
Oriol Vinyals
Tim Green
Iain Dunning
Karen Simonyan
Chrisantha Fernando
Koray Kavukcuoglu
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Papers citing
"Population Based Training of Neural Networks"
50 / 180 papers shown
Title
Hippo: Taming Hyper-parameter Optimization of Deep Learning with Stage Trees
Ahnjae Shin
Do Yoon Kim
Joo Seong Jeong
Byung-Gon Chun
28
4
0
22 Jun 2020
Population-Based Black-Box Optimization for Biological Sequence Design
Christof Angermüller
David Belanger
Andreea Gane
Zelda E. Mariet
David Dohan
Kevin Patrick Murphy
Lucy J. Colwell
D. Sculley
29
133
0
05 Jun 2020
Gradient Monitored Reinforcement Learning
Mohammed Sharafath Abdul Hameed
Gavneet Singh Chadha
Andreas Schwung
S. Ding
33
10
0
25 May 2020
A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis
Li Zhang
Mingliang Wang
Mingxia Liu
Daoqiang Zhang
23
155
0
10 May 2020
Sherpa: Robust Hyperparameter Optimization for Machine Learning
L. Hertel
Julian Collado
Peter Sadowski
J. Ott
Pierre Baldi
86
103
0
08 May 2020
Improving 3D Object Detection through Progressive Population Based Augmentation
Shuyang Cheng
Zhaoqi Leng
E. D. Cubuk
Barret Zoph
Chunyan Bai
...
Vijay Vasudevan
Congcong Li
Quoc V. Le
Jonathon Shlens
Dragomir Anguelov
3DPC
20
74
0
02 Apr 2020
Agent57: Outperforming the Atari Human Benchmark
Adria Puigdomenech Badia
Bilal Piot
Steven Kapturowski
Pablo Sprechmann
Alex Vitvitskyi
Daniel Guo
Charles Blundell
OffRL
29
510
0
30 Mar 2020
Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods
Jiale Zhi
Rui Wang
Jeff Clune
Kenneth O. Stanley
OffRL
30
12
0
25 Mar 2020
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions
Rui Wang
Joel Lehman
Aditya Rawal
Jiale Zhi
Yulun Li
Jeff Clune
Kenneth O. Stanley
22
125
0
19 Mar 2020
FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis
Aman Sinha
Matthew O'Kelly
Hongrui Zheng
Rahul Mangharam
John C. Duchi
Russ Tedrake
OffRL
66
27
0
09 Mar 2020
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
Esteban Real
Chen Liang
David R. So
Quoc V. Le
44
220
0
06 Mar 2020
Policy Evaluation Networks
J. Harb
Tom Schaul
Doina Precup
Pierre-Luc Bacon
OffRL
18
36
0
26 Feb 2020
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer
Tianpei Yang
Jianye Hao
Zhaopeng Meng
Zongzhang Zhang
Yujing Hu
...
Changjie Fan
Weixun Wang
Wulong Liu
Zhaodong Wang
J. Peng
OffRL
22
12
0
19 Feb 2020
Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits
Jack Parker-Holder
Vu Nguyen
Stephen J. Roberts
OffRL
75
83
0
06 Feb 2020
Social diversity and social preferences in mixed-motive reinforcement learning
Kevin R. McKee
I. Gemp
Brian McWilliams
Edgar A. Duénez-Guzmán
Edward Hughes
Joel Z Leibo
20
80
0
06 Feb 2020
Optimized Generic Feature Learning for Few-shot Classification across Domains
Tonmoy Saikia
Thomas Brox
Cordelia Schmid
VLM
30
48
0
22 Jan 2020
Population-Guided Parallel Policy Search for Reinforcement Learning
Whiyoung Jung
Giseung Park
Y. Sung
OffRL
24
38
0
09 Jan 2020
Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems
Isabelle Leang
Ganesh Sistu
Fabian Burger
Andrei Bursuc
S. Yogamani
30
53
0
07 Jan 2020
Deeper Insights into Weight Sharing in Neural Architecture Search
Yuge Zhang
Zejun Lin
Junyan Jiang
Quanlu Zhang
Yujing Wang
Hui Xue
Chen Zhang
Yaming Yang
35
49
0
06 Jan 2020
Adversarial AutoAugment
Xinyu Zhang
Qiang-qiang Wang
Jian Zhang
Zhaobai Zhong
AAML
33
197
0
24 Dec 2019
Multi-Path Policy Optimization
L. Pan
Qingpeng Cai
Longbo Huang
18
2
0
11 Nov 2019
Optimizing Millions of Hyperparameters by Implicit Differentiation
Jonathan Lorraine
Paul Vicol
David Duvenaud
DD
45
404
0
06 Nov 2019
On the Utility of Learning about Humans for Human-AI Coordination
Micah Carroll
Rohin Shah
Mark K. Ho
Thomas Griffiths
S. Seshia
Pieter Abbeel
Anca Dragan
HAI
25
382
0
13 Oct 2019
Parallelizing Training of Deep Generative Models on Massive Scientific Datasets
S. A. Jacobs
B. Van Essen
D. Hysom
Jae-Seung Yeom
Tim Moon
...
J. Gaffney
Tom Benson
Peter B. Robinson
L. Peterson
B. Spears
BDL
AI4CE
22
17
0
05 Oct 2019
V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control
H. F. Song
A. Abdolmaleki
Jost Tobias Springenberg
Aidan Clark
Hubert Soyer
...
Dhruva Tirumala
N. Heess
Dan Belov
Martin Riedmiller
M. Botvinick
37
121
0
26 Sep 2019
Deep Learning-based Polar Code Design
Moustafa Ebada
Sebastian Cammerer
Ahmed Elkelesh
S. Brink
26
34
0
26 Sep 2019
Off-Policy Actor-Critic with Shared Experience Replay
Simon Schmitt
Matteo Hessel
Karen Simonyan
OffRL
27
68
0
25 Sep 2019
Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning in Asymmetric Imperfect-Information Games
Macheng Shen
Jonathan P. How
AAML
29
19
0
18 Sep 2019
Emergent Tool Use From Multi-Agent Autocurricula
Bowen Baker
I. Kanitscheider
Todor Markov
Yi Wu
Glenn Powell
Bob McGrew
Igor Mordatch
LRM
54
647
0
17 Sep 2019
Iterative Update and Unified Representation for Multi-Agent Reinforcement Learning
Jiancheng Long
Hongming Zhang
Tianyang Yu
Bo Xu
18
0
0
16 Aug 2019
Automated Machine Learning in Practice: State of the Art and Recent Results
Lukas Tuggener
Mohammadreza Amirian
Katharina Rombach
Stefan Lörwald
Anastasia Varlet
Christian Westermann
Thilo Stadelmann
21
63
0
19 Jul 2019
Attentive Multi-Task Deep Reinforcement Learning
Timo Bram
Gino Brunner
Oliver Richter
Roger Wattenhofer
CLL
23
18
0
05 Jul 2019
Growing Action Spaces
Gregory Farquhar
Laura Gustafson
Zeming Lin
Shimon Whiteson
Nicolas Usunier
Gabriel Synnaeve
14
38
0
28 Jun 2019
Towards Interpretable Reinforcement Learning Using Attention Augmented Agents
Alex Mott
Daniel Zoran
Mike Chrzanowski
Daan Wierstra
Danilo Jimenez Rezende
26
188
0
06 Jun 2019
Meta-Surrogate Benchmarking for Hyperparameter Optimization
Aaron Klein
Zhenwen Dai
Frank Hutter
Neil D. Lawrence
Javier I. González
OffRL
14
36
0
30 May 2019
Unsupervised Model Selection for Variational Disentangled Representation Learning
Sunny Duan
Loic Matthey
Andre Saraiva
Nicholas Watters
Christopher P. Burgess
Alexander Lerchner
I. Higgins
OOD
DRL
19
78
0
29 May 2019
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence
Jeff Clune
17
116
0
27 May 2019
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment
Chen Huang
Shuangfei Zhai
Walter A. Talbott
Miguel Angel Bautista
Shi Sun
Carlos Guestrin
J. Susskind
29
75
0
15 May 2019
Semi-supervised and Population Based Training for Voice Commands Recognition
Oguz H. Elibol
Gokce Keskin
Anil Thomas
19
2
0
10 May 2019
Ray Interference: a Source of Plateaus in Deep Reinforcement Learning
Tom Schaul
Diana Borsa
Joseph Modayil
Razvan Pascanu
19
63
0
25 Apr 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
Yaoyao Liu
Bernt Schiele
Qianru Sun
BDL
40
128
0
17 Apr 2019
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions
M. Mackay
Paul Vicol
Jonathan Lorraine
David Duvenaud
Roger C. Grosse
27
164
0
07 Mar 2019
Hierarchical Autoregressive Image Models with Auxiliary Decoders
J. Fauw
Sander Dieleman
Karen Simonyan
GAN
30
37
0
06 Mar 2019
Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents
Joseph Suárez
Yilun Du
Phillip Isola
Igor Mordatch
19
71
0
02 Mar 2019
Random Search and Reproducibility for Neural Architecture Search
Liam Li
Ameet Talwalkar
OOD
36
718
0
20 Feb 2019
Emergent Coordination Through Competition
Siqi Liu
Guy Lever
J. Merel
S. Tunyasuvunakool
N. Heess
T. Graepel
47
149
0
19 Feb 2019
Fast Efficient Hyperparameter Tuning for Policy Gradients
Supratik Paul
Vitaly Kurin
Shimon Whiteson
22
32
0
18 Feb 2019
Leveraging Communication Topologies Between Learning Agents in Deep Reinforcement Learning
D. Adjodah
D. Calacci
Abhimanyu Dubey
Anirudh Goyal
P. Krafft
Esteban Moro Egido
Alex Pentland
AI4CE
30
8
0
16 Feb 2019
Learning and Evaluating General Linguistic Intelligence
Dani Yogatama
Cyprien de Masson dÁutume
Jerome T. Connor
Tomás Kociský
Mike Chrzanowski
...
Angeliki Lazaridou
Wang Ling
Lei Yu
Chris Dyer
Phil Blunsom
ELM
AI4CE
33
209
0
31 Jan 2019
Deep Grid Net (DGN): A Deep Learning System for Real-Time Driving Context Understanding
L. Marina
Bogdan Trasnea
Tiberiu T. Cocias
Andrei Vasilcoi
F. Moldoveanu
Sorin Grigorescu
AI4CE
26
15
0
16 Jan 2019
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