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1803.00933
Cited By
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
B. Kurniawan
Peter Vamplew
Michael Papasimeon
Richard Dazeley
Cameron Foale
OffRL
6
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05 May 2020
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
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
Jessica B. Hamrick
S. Mohamed
12
16
0
06 Apr 2020
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
Jiale Zhi
Rui Wang
Jeff Clune
Kenneth O. Stanley
OffRL
22
12
0
25 Mar 2020
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
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
Aviral Kumar
Abhishek Gupta
Sergey Levine
OffRL
14
100
0
16 Mar 2020
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
Rémy Portelas
Cédric Colas
Lilian Weng
Katja Hofmann
Pierre-Yves Oudeyer
ODL
17
167
0
10 Mar 2020
Dynamic Experience Replay
Jieliang Luo
Hui Li
118
24
0
04 Mar 2020
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
Yige Xu
Xipeng Qiu
L. Zhou
Xuanjing Huang
17
65
0
24 Feb 2020
Adaptive Experience Selection for Policy Gradient
S. Mohamad
Giovanni Montana
23
0
0
17 Feb 2020
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
Yichuan Tang
9
33
0
28 Jan 2020
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
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
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
Mirza Ramicic
Andrea Bonarini
KELM
CLL
OffRL
11
1
0
29 Dec 2019
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
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
Jingbin Liu
Shuai Liu
Xinyang Gu
OffRL
14
2
0
20 Dec 2019
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
OpenAI OpenAI
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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
Hanten Chang
K. Futagami
16
21
0
05 Dec 2019
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
Hengyuan Hu
Jakob N. Foerster
OffRL
16
82
0
04 Dec 2019
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
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
Dmitry Akimov
6
9
0
29 Nov 2019
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
Marin Toromanoff
É. Wirbel
Fabien Moutarde
OffRL
41
205
0
25 Nov 2019
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
Gang Chen
20
4
0
24 Nov 2019
Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning
Praveen Palanisamy
28
142
0
11 Nov 2019
Experience Sharing Between Cooperative Reinforcement Learning Agents
Lucas O. Souza
G. Ramos
C. Ralha
11
9
0
06 Nov 2019
Positive-Unlabeled Reward Learning
Danfei Xu
Misha Denil
13
38
0
01 Nov 2019
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
Che Wang
Yanqiu Wu
Q. Vuong
Keith Ross
8
6
0
05 Oct 2019
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
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
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
Simon Schmitt
Matteo Hessel
Karen Simonyan
OffRL
11
68
0
25 Sep 2019
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
Adam Stooke
Pieter Abbeel
OffRL
14
96
0
03 Sep 2019
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
Wade Genders
S. Razavi
6
29
0
01 Sep 2019
Exploration-Enhanced POLITEX
Yasin Abbasi-Yadkori
N. Lazić
Csaba Szepesvári
Gellert Weisz
11
23
0
27 Aug 2019
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