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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
Discrete-to-Deep Supervised Policy Learning
Discrete-to-Deep Supervised Policy Learning
B. Kurniawan
Peter Vamplew
Michael Papasimeon
Richard Dazeley
Cameron Foale
OffRL
6
3
0
05 May 2020
First return, then explore
First return, then explore
Adrien Ecoffet
Joost Huizinga
Joel Lehman
Kenneth O. Stanley
Jeff Clune
47
349
0
27 Apr 2020
A Deep Reinforcement Learning Framework for Continuous Intraday Market
  Bidding
A Deep Reinforcement Learning Framework for Continuous Intraday Market Bidding
Ioannis Boukas
D. Ernst
Thibaut Théate
Adrien Bolland
A. Huynen
Martin Buchwald
Christelle Wynants
Bertrand Cornélusse
4
48
0
13 Apr 2020
Levels of Analysis for Machine Learning
Levels of Analysis for Machine Learning
Jessica B. Hamrick
S. Mohamed
12
16
0
06 Apr 2020
Agent57: Outperforming the Atari Human Benchmark
Agent57: Outperforming the Atari Human Benchmark
Adria Puigdomenech Badia
Bilal Piot
Steven Kapturowski
Pablo Sprechmann
Alex Vitvitskyi
Daniel Guo
Charles Blundell
OffRL
13
509
0
30 Mar 2020
Fiber: A Platform for Efficient Development and Distributed Training for
  Reinforcement Learning and Population-Based Methods
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
22
12
0
25 Mar 2020
Distributional Reinforcement Learning with Ensembles
Distributional Reinforcement Learning with Ensembles
Björn Lindenberg
Jonas Nordqvist
Karl-Olof Lindahl
OOD
6
3
0
24 Mar 2020
An empirical investigation of the challenges of real-world reinforcement
  learning
An empirical investigation of the challenges of real-world reinforcement learning
Gabriel Dulac-Arnold
Nir Levine
D. Mankowitz
Jerry Li
Cosmin Paduraru
Sven Gowal
Todd Hester
OffRL
23
120
0
24 Mar 2020
DisCor: Corrective Feedback in Reinforcement Learning via Distribution
  Correction
DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction
Aviral Kumar
Abhishek Gupta
Sergey Levine
OffRL
14
100
0
16 Mar 2020
Taylor Expansion Policy Optimization
Taylor Expansion Policy Optimization
Yunhao Tang
Michal Valko
Rémi Munos
OffRL
14
14
0
13 Mar 2020
Automatic Curriculum Learning For Deep RL: A Short Survey
Automatic Curriculum Learning For Deep RL: A Short Survey
Rémy Portelas
Cédric Colas
Lilian Weng
Katja Hofmann
Pierre-Yves Oudeyer
ODL
17
167
0
10 Mar 2020
Dynamic Experience Replay
Dynamic Experience Replay
Jieliang Luo
Hui Li
118
24
0
04 Mar 2020
Review, Analysis and Design of a Comprehensive Deep Reinforcement
  Learning Framework
Review, Analysis and Design of a Comprehensive Deep Reinforcement Learning Framework
Ngoc Duy Nguyen
Thanh Thi Nguyen
Hai V. Nguyen
Doug Creighton
S. Nahavandi
24
3
0
27 Feb 2020
Improving BERT Fine-Tuning via Self-Ensemble and Self-Distillation
Improving BERT Fine-Tuning via Self-Ensemble and Self-Distillation
Yige Xu
Xipeng Qiu
L. Zhou
Xuanjing Huang
17
65
0
24 Feb 2020
Adaptive Experience Selection for Policy Gradient
Adaptive Experience Selection for Policy Gradient
S. Mohamad
Giovanni Montana
23
0
0
17 Feb 2020
Never Give Up: Learning Directed Exploration Strategies
Never Give Up: Learning Directed Exploration Strategies
Adria Puigdomenech Badia
Pablo Sprechmann
Alex Vitvitskyi
Daniel Guo
Bilal Piot
...
O. Tieleman
Martín Arjovsky
Alexander Pritzel
Andew Bolt
Charles Blundell
12
289
0
14 Feb 2020
Towards Learning Multi-agent Negotiations via Self-Play
Towards Learning Multi-agent Negotiations via Self-Play
Yichuan Tang
9
33
0
28 Jan 2020
Q-Learning in enormous action spaces via amortized approximate
  maximization
Q-Learning in enormous action spaces via amortized approximate maximization
T. Wiele
David Warde-Farley
A. Mnih
Volodymyr Mnih
15
59
0
22 Jan 2020
Population-Guided Parallel Policy Search for Reinforcement Learning
Population-Guided Parallel Policy Search for Reinforcement Learning
Whiyoung Jung
Giseung Park
Y. Sung
OffRL
16
38
0
09 Jan 2020
Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for
  Addressing Value Estimation Errors
Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors
Jingliang Duan
Yang Guan
Shengbo Eben Li
Yangang Ren
B. Cheng
OffRL
17
173
0
09 Jan 2020
Augmented Replay Memory in Reinforcement Learning With Continuous
  Control
Augmented Replay Memory in Reinforcement Learning With Continuous Control
Mirza Ramicic
Andrea Bonarini
KELM
CLL
OffRL
11
1
0
29 Dec 2019
A Survey of Deep Reinforcement Learning in Video Games
A Survey of Deep Reinforcement Learning in Video Games
Kun Shao
Zhentao Tang
Yuanheng Zhu
Nannan Li
Dongbin Zhao
OffRL
AI4TS
34
188
0
23 Dec 2019
Direct and indirect reinforcement learning
Direct and indirect reinforcement learning
Yang Guan
Shengbo Eben Li
Jingliang Duan
Jie Li
Yangang Ren
Qi Sun
B. Cheng
OffRL
30
34
0
23 Dec 2019
Soft Q Network
Soft Q Network
Jingbin Liu
Shuai Liu
Xinyang Gu
OffRL
14
2
0
20 Dec 2019
Adapting Behaviour for Learning Progress
Adapting Behaviour for Learning Progress
Tom Schaul
Diana Borsa
David Ding
David Szepesvari
Georg Ostrovski
Will Dabney
Simon Osindero
6
18
0
14 Dec 2019
Dota 2 with Large Scale Deep Reinforcement Learning
Dota 2 with Large Scale Deep Reinforcement Learning
OpenAI OpenAI
:
Christopher Berner
Greg Brockman
Brooke Chan
...
Szymon Sidor
Ilya Sutskever
Jie Tang
Filip Wolski
Susan Zhang
GNN
VLM
CLL
AI4CE
LRM
41
1,794
0
13 Dec 2019
Reinforcement Learning with Convolutional Reservoir Computing
Reinforcement Learning with Convolutional Reservoir Computing
Hanten Chang
K. Futagami
16
21
0
05 Dec 2019
Improving Policies via Search in Cooperative Partially Observable Games
Improving Policies via Search in Cooperative Partially Observable Games
Adam Lerer
Hengyuan Hu
Jakob N. Foerster
Noam Brown
11
78
0
05 Dec 2019
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning
Hengyuan Hu
Jakob N. Foerster
OffRL
16
82
0
04 Dec 2019
Policy Optimization Reinforcement Learning with Entropy Regularization
Policy Optimization Reinforcement Learning with Entropy Regularization
Jingbin Liu
Xinyang Gu
Shuai Liu
15
4
0
02 Dec 2019
IMPACT: Importance Weighted Asynchronous Architectures with Clipped
  Target Networks
IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks
Michael Luo
Jiahao Yao
Richard Liaw
Eric Liang
Ion Stoica
17
15
0
30 Nov 2019
Distributed Soft Actor-Critic with Multivariate Reward Representation
  and Knowledge Distillation
Distributed Soft Actor-Critic with Multivariate Reward Representation and Knowledge Distillation
Dmitry Akimov
6
9
0
29 Nov 2019
Simulation-based reinforcement learning for real-world autonomous
  driving
Simulation-based reinforcement learning for real-world autonomous driving
B. Osinski
Adam Jakubowski
Piotr Milos
Pawel Ziecina
Christopher Galias
S. Homoceanu
Henryk Michalewski
19
122
0
29 Nov 2019
End-to-End Model-Free Reinforcement Learning for Urban Driving using
  Implicit Affordances
End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances
Marin Toromanoff
É. Wirbel
Fabien Moutarde
OffRL
41
205
0
25 Nov 2019
ORL: Reinforcement Learning Benchmarks for Online Stochastic
  Optimization Problems
ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems
Bharathan Balaji
Jordan Bell-Masterson
Enes Bilgin
Andreas C. Damianou
Pablo Moreno Garcia
Arpit Jain
Runfei Luo
Alvaro Maggiar
Balakrishnan Narayanaswamy
Chun Jimmie Ye
OffRL
9
32
0
24 Nov 2019
Merging Deterministic Policy Gradient Estimations with Varied
  Bias-Variance Tradeoff for Effective Deep Reinforcement Learning
Merging Deterministic Policy Gradient Estimations with Varied Bias-Variance Tradeoff for Effective Deep Reinforcement Learning
Gang Chen
20
4
0
24 Nov 2019
Multi-Agent Connected Autonomous Driving using Deep Reinforcement
  Learning
Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning
Praveen Palanisamy
28
142
0
11 Nov 2019
Experience Sharing Between Cooperative Reinforcement Learning Agents
Experience Sharing Between Cooperative Reinforcement Learning Agents
Lucas O. Souza
G. Ramos
C. Ralha
11
9
0
06 Nov 2019
Positive-Unlabeled Reward Learning
Positive-Unlabeled Reward Learning
Danfei Xu
Misha Denil
13
38
0
01 Nov 2019
ZPD Teaching Strategies for Deep Reinforcement Learning from
  Demonstrations
ZPD Teaching Strategies for Deep Reinforcement Learning from Demonstrations
Daniel Seita
David M. Chan
Roshan Rao
Chen Tang
Mandi Zhao
John F. Canny
9
12
0
26 Oct 2019
Striving for Simplicity and Performance in Off-Policy DRL: Output
  Normalization and Non-Uniform Sampling
Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling
Che Wang
Yanqiu Wu
Q. Vuong
Keith Ross
8
6
0
05 Oct 2019
Task-Relevant Adversarial Imitation Learning
Task-Relevant Adversarial Imitation Learning
Konrad Zolna
Scott E. Reed
Alexander Novikov
Sergio Gomez Colmenarejo
David Budden
Serkan Cabi
Misha Denil
Nando de Freitas
Ziyun Wang
GAN
20
61
0
02 Oct 2019
QuaRL: Quantization for Fast and Environmentally Sustainable
  Reinforcement Learning
QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning
Srivatsan Krishnan
Maximilian Lam
Sharad Chitlangia
Zishen Wan
Gabriel Barth-Maron
Aleksandra Faust
Vijay Janapa Reddi
MQ
21
22
0
02 Oct 2019
SURREAL-System: Fully-Integrated Stack for Distributed Deep
  Reinforcement Learning
SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning
Linxi Fan
Yuke Zhu
Jiren Zhu
Zihua Liu
Orien Zeng
Anchit Gupta
Joan Creus-Costa
Silvio Savarese
Li Fei-Fei
OffRL
GNN
15
3
0
27 Sep 2019
Off-Policy Actor-Critic with Shared Experience Replay
Off-Policy Actor-Critic with Shared Experience Replay
Simon Schmitt
Matteo Hessel
Karen Simonyan
OffRL
11
68
0
25 Sep 2019
Deep Reinforcement Learning with Modulated Hebbian plus Q Network
  Architecture
Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture
Pawel Ladosz
Eseoghene Ben-Iwhiwhu
Jeffery Dick
Yang Hu
Nicholas A. Ketz
Soheil Kolouri
J. Krichmar
Praveen K. Pilly
Andrea Soltoggio
11
19
0
21 Sep 2019
rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch
rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch
Adam Stooke
Pieter Abbeel
OffRL
14
96
0
03 Sep 2019
Making Efficient Use of Demonstrations to Solve Hard Exploration
  Problems
Making Efficient Use of Demonstrations to Solve Hard Exploration Problems
T. Paine
Çağlar Gülçehre
Bobak Shahriari
Misha Denil
Matt Hoffman
...
Duncan Williams
Gabriel Barth-Maron
Ziyun Wang
Nando de Freitas
Worlds Team
12
80
0
03 Sep 2019
An Open-Source Framework for Adaptive Traffic Signal Control
An Open-Source Framework for Adaptive Traffic Signal Control
Wade Genders
S. Razavi
6
29
0
01 Sep 2019
Exploration-Enhanced POLITEX
Exploration-Enhanced POLITEX
Yasin Abbasi-Yadkori
N. Lazić
Csaba Szepesvári
Gellert Weisz
11
23
0
27 Aug 2019
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