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Distributed Prioritized Experience Replay

Distributed Prioritized Experience Replay

2 March 2018
Dan Horgan
John Quan
David Budden
Gabriel Barth-Maron
Matteo Hessel
H. V. Hasselt
David Silver
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Papers citing "Distributed Prioritized Experience Replay"

50 / 373 papers shown
Title
Is Deep Reinforcement Learning Really Superhuman on Atari? Leveling the
  playing field
Is Deep Reinforcement Learning Really Superhuman on Atari? Leveling the playing field
Marin Toromanoff
É. Wirbel
Fabien Moutarde
OffRL
22
24
0
13 Aug 2019
Behaviour Suite for Reinforcement Learning
Behaviour Suite for Reinforcement Learning
Ian Osband
Yotam Doron
Matteo Hessel
John Aslanides
Eren Sezener
...
Satinder Singh
Benjamin Van Roy
R. Sutton
David Silver
H. V. Hasselt
OffRL
21
178
0
09 Aug 2019
Google Research Football: A Novel Reinforcement Learning Environment
Google Research Football: A Novel Reinforcement Learning Environment
Karol Kurach
Anton Raichuk
Piotr Stańczyk
Michal Zajac
Olivier Bachem
...
C. Riquelme
Damien Vincent
Marcin Michalski
Olivier Bousquet
Sylvain Gelly
11
398
0
25 Jul 2019
Variance Reduction in Actor Critic Methods (ACM)
Variance Reduction in Actor Critic Methods (ACM)
Eric Benhamou
OffRL
11
4
0
23 Jul 2019
An Actor-Critic-Attention Mechanism for Deep Reinforcement Learning in
  Multi-view Environments
An Actor-Critic-Attention Mechanism for Deep Reinforcement Learning in Multi-view Environments
Elaheh Barati
Xuewen Chen
11
13
0
19 Jul 2019
Accelerating Reinforcement Learning through GPU Atari Emulation
Accelerating Reinforcement Learning through GPU Atari Emulation
Steven Dalton
I. Frosio
M. Garland
ELM
14
9
0
19 Jul 2019
Convolutional Reservoir Computing for World Models
Convolutional Reservoir Computing for World Models
Hanten Chang
K. Futagami
16
4
0
18 Jul 2019
Proximal Policy Optimization with Mixed Distributed Training
Proximal Policy Optimization with Mixed Distributed Training
Zhenyu Zhang
Xiangfeng Luo
Tong Liu
Shaorong Xie
Jianshu Wang
Wei Wang
Heng Chang
Yan Peng
OffRL
14
21
0
15 Jul 2019
Learning Safe Unlabeled Multi-Robot Planning with Motion Constraints
Learning Safe Unlabeled Multi-Robot Planning with Motion Constraints
Arbaaz Khan
Chi Zhang
Shuo Li
J. Wu
Brent Schlotfeldt
Sarah Tang
Alejandro Ribeiro
Osbert Bastani
Vijay R. Kumar
6
28
0
11 Jul 2019
On Inductive Biases in Deep Reinforcement Learning
On Inductive Biases in Deep Reinforcement Learning
Matteo Hessel
H. V. Hasselt
Joseph Modayil
David Silver
AI4CE
25
41
0
05 Jul 2019
Modern Deep Reinforcement Learning Algorithms
Modern Deep Reinforcement Learning Algorithms
Sergey Ivanov
A. Dýakonov
OffRL
13
38
0
24 Jun 2019
A Deep Reinforcement Learning Approach for Global Routing
A Deep Reinforcement Learning Approach for Global Routing
Haiguang Liao
Wentai Zhang
Xuliang Dong
Barnabás Póczós
K. Shimada
L. Kara
11
82
0
20 Jun 2019
Unsupervised Learning of Object Keypoints for Perception and Control
Unsupervised Learning of Object Keypoints for Perception and Control
Tejas D. Kulkarni
Ankush Gupta
Catalin Ionescu
Sebastian Borgeaud
Malcolm Reynolds
Andrew Zisserman
Volodymyr Mnih
SSL
OCL
11
193
0
19 Jun 2019
Boosting Soft Actor-Critic: Emphasizing Recent Experience without
  Forgetting the Past
Boosting Soft Actor-Critic: Emphasizing Recent Experience without Forgetting the Past
Che Wang
Keith Ross
8
45
0
10 Jun 2019
Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning
Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning
Mahmoud Assran
Joshua Romoff
Nicolas Ballas
Joelle Pineau
Michael G. Rabbat
20
32
0
09 Jun 2019
Prioritized Sequence Experience Replay
Prioritized Sequence Experience Replay
Marc Brittain
J. R. Bertram
Xuxi Yang
Peng Wei
26
44
0
25 May 2019
Combining Experience Replay with Exploration by Random Network
  Distillation
Combining Experience Replay with Exploration by Random Network Distillation
Francesco Sovrano
16
15
0
18 May 2019
Optimizing Sequential Medical Treatments with Auto-Encoding Heuristic
  Search in POMDPs
Optimizing Sequential Medical Treatments with Auto-Encoding Heuristic Search in POMDPs
Luchen Li
Matthieu Komorowski
Aldo A. Faisal
OffRL
21
13
0
17 May 2019
Learning and Exploiting Multiple Subgoals for Fast Exploration in
  Hierarchical Reinforcement Learning
Learning and Exploiting Multiple Subgoals for Fast Exploration in Hierarchical Reinforcement Learning
Libo Xing
6
4
0
13 May 2019
Learning Phase Competition for Traffic Signal Control
Learning Phase Competition for Traffic Signal Control
Guanjie Zheng
Yuanhao Xiong
Xinshi Zang
J. Feng
Hua Wei
Huichu Zhang
Yong Li
Kai Xu
Z. Li
12
221
0
12 May 2019
Challenges of Real-World Reinforcement Learning
Challenges of Real-World Reinforcement Learning
Gabriel Dulac-Arnold
D. Mankowitz
Todd Hester
OffRL
9
542
0
29 Apr 2019
Creating Pro-Level AI for a Real-Time Fighting Game Using Deep
  Reinforcement Learning
Creating Pro-Level AI for a Real-Time Fighting Game Using Deep Reinforcement Learning
In-Suk Oh
Seungeun Rho
Sangbin Moon
Seongho Son
Hyoil Lee
Jinyun Chung
13
52
0
08 Apr 2019
Reinforcement Learning with Attention that Works: A Self-Supervised
  Approach
Reinforcement Learning with Attention that Works: A Self-Supervised Approach
Anthony Manchin
Ehsan Abbasnejad
Anton Van Den Hengel
14
60
0
06 Apr 2019
Failure-Scenario Maker for Rule-Based Agent using Multi-agent
  Adversarial Reinforcement Learning and its Application to Autonomous Driving
Failure-Scenario Maker for Rule-Based Agent using Multi-agent Adversarial Reinforcement Learning and its Application to Autonomous Driving
Akifumi Wachi
AAML
6
68
0
26 Mar 2019
Long Range Neural Navigation Policies for the Real World
Long Range Neural Navigation Policies for the Real World
Ayzaan Wahid
Alexander Toshev
Marek Fiser
T. Lee
24
17
0
23 Mar 2019
Towards Characterizing Divergence in Deep Q-Learning
Towards Characterizing Divergence in Deep Q-Learning
Joshua Achiam
Ethan Knight
Pieter Abbeel
11
96
0
21 Mar 2019
Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically
  Motivated Exploration
Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration
Jingwei Zhang
Niklas Wetzel
Nicolai Dorka
Joschka Boedecker
Wolfram Burgard
6
26
0
18 Mar 2019
Sample-Efficient Model-Free Reinforcement Learning with Off-Policy
  Critics
Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics
Denis Steckelmacher
Hélène Plisnier
D. Roijers
A. Nowé
OffRL
18
17
0
11 Mar 2019
Asynchronous Episodic Deep Deterministic Policy Gradient: Towards
  Continuous Control in Computationally Complex Environments
Asynchronous Episodic Deep Deterministic Policy Gradient: Towards Continuous Control in Computationally Complex Environments
Zhizheng Zhang
Jiale Chen
Zhibo Chen
Weiping Li
OffRL
9
60
0
03 Mar 2019
Artificial Intelligence for Prosthetics - challenge solutions
Artificial Intelligence for Prosthetics - challenge solutions
L. Kidzinski
Carmichael F. Ong
Sharada Mohanty
Jennifer Hicks
Sean F. Carroll
...
E. Tumer
J. Watson
M. Salathé
Sergey Levine
Scott L. Delp
15
40
0
07 Feb 2019
Competitive Experience Replay
Competitive Experience Replay
Hao Liu
Alexander R. Trott
R. Socher
Caiming Xiong
OffRL
16
52
0
01 Feb 2019
TF-Replicator: Distributed Machine Learning for Researchers
TF-Replicator: Distributed Machine Learning for Researchers
P. Buchlovsky
David Budden
Dominik Grewe
Chris Jones
John Aslanides
...
Aidan Clark
Sergio Gomez Colmenarejo
Aedan Pope
Fabio Viola
Dan Belov
GNN
OffRL
AI4CE
21
20
0
01 Feb 2019
Go-Explore: a New Approach for Hard-Exploration Problems
Go-Explore: a New Approach for Hard-Exploration Problems
Adrien Ecoffet
Joost Huizinga
Joel Lehman
Kenneth O. Stanley
Jeff Clune
AI4TS
24
361
0
30 Jan 2019
Understanding Multi-Step Deep Reinforcement Learning: A Systematic Study
  of the DQN Target
Understanding Multi-Step Deep Reinforcement Learning: A Systematic Study of the DQN Target
J. F. Hernandez-Garcia
R. Sutton
11
61
0
22 Jan 2019
An investigation of model-free planning
An investigation of model-free planning
A. Guez
M. Berk Mirza
Karol Gregor
Rishabh Kabra
S. Racanière
...
Laurent Orseau
Tom Eccles
Greg Wayne
David Silver
Timothy Lillicrap
OffRL
17
111
0
11 Jan 2019
Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly
  Complex and Diverse Learning Environments and Their Solutions
Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions
Rui Wang
Joel Lehman
Jeff Clune
Kenneth O. Stanley
26
239
0
07 Jan 2019
Learn to Interpret Atari Agents
Learn to Interpret Atari Agents
Zhao Yang
S. Bai
Li Zhang
Philip H. S. Torr
14
28
0
29 Dec 2018
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep
  Reinforcement Learning Agents
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents
F. Such
Vashisht Madhavan
Rosanne Liu
Rui Wang
Pablo Samuel Castro
...
Jiale Zhi
Ludwig Schubert
Marc G. Bellemare
Jeff Clune
Joel Lehman
OffRL
14
54
0
17 Dec 2018
An Empirical Model of Large-Batch Training
An Empirical Model of Large-Batch Training
Sam McCandlish
Jared Kaplan
Dario Amodei
OpenAI Dota Team
13
267
0
14 Dec 2018
Dopamine: A Research Framework for Deep Reinforcement Learning
Dopamine: A Research Framework for Deep Reinforcement Learning
Pablo Samuel Castro
Subhodeep Moitra
Carles Gelada
Saurabh Kumar
Marc G. Bellemare
OffRL
9
276
0
14 Dec 2018
Deep Reinforcement Learning and the Deadly Triad
Deep Reinforcement Learning and the Deadly Triad
H. V. Hasselt
Yotam Doron
Florian Strub
Matteo Hessel
Nicolas Sonnerat
Joseph Modayil
OffRL
11
221
0
06 Dec 2018
Rigorous Agent Evaluation: An Adversarial Approach to Uncover
  Catastrophic Failures
Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures
Junhui Yin
Jiayan Qiu
Csaba Szepesvári
Siqing Zhang
Avraham Ruderman
Jiyang Xie
Krishnamurthy Dvijotham
Zhanyu Ma
N. Heess
Pushmeet Kohli
AAML
15
80
0
04 Dec 2018
Macro action selection with deep reinforcement learning in StarCraft
Macro action selection with deep reinforcement learning in StarCraft
Sijia Xu
Hongyu Kuang
Zhi Zhuang
Renjie Hu
Yang Liu
Huyang Sun
22
27
0
02 Dec 2018
Unsupervised Control Through Non-Parametric Discriminative Rewards
Unsupervised Control Through Non-Parametric Discriminative Rewards
David Warde-Farley
T. Wiele
Tejas D. Kulkarni
Catalin Ionescu
S. Hansen
Volodymyr Mnih
DRL
OffRL
SSL
33
172
0
28 Nov 2018
PNS: Population-Guided Novelty Search for Reinforcement Learning in Hard
  Exploration Environments
PNS: Population-Guided Novelty Search for Reinforcement Learning in Hard Exploration Environments
Qihao Liu
Yujia Wang
Xiao-Fei Liu
9
8
0
26 Nov 2018
Scalable agent alignment via reward modeling: a research direction
Scalable agent alignment via reward modeling: a research direction
Jan Leike
David M. Krueger
Tom Everitt
Miljan Martic
Vishal Maini
Shane Legg
28
395
0
19 Nov 2018
Exploration by Random Network Distillation
Exploration by Random Network Distillation
Yuri Burda
Harrison Edwards
Amos Storkey
Oleg Klimov
14
1,292
0
30 Oct 2018
RLgraph: Modular Computation Graphs for Deep Reinforcement Learning
RLgraph: Modular Computation Graphs for Deep Reinforcement Learning
Michael Schaarschmidt
Sven Mika
Kai Fricke
Eiko Yoneki
OffRL
21
5
0
21 Oct 2018
Deep Reinforcement Learning
Deep Reinforcement Learning
Yuxi Li
VLM
OffRL
28
144
0
15 Oct 2018
GPU-Accelerated Robotic Simulation for Distributed Reinforcement
  Learning
GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning
Jacky Liang
Viktor Makoviychuk
Ankur Handa
N. Chentanez
Miles Macklin
D. Fox
AI4CE
11
182
0
12 Oct 2018
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