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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
Greedy-Step Off-Policy Reinforcement Learning
Greedy-Step Off-Policy Reinforcement Learning
Yuhui Wang
Qingyuan Wu
Pengcheng He
Xiaoyang Tan
OffRL
10
1
0
23 Feb 2021
Communication Efficient Parallel Reinforcement Learning
Communication Efficient Parallel Reinforcement Learning
Mridul Agarwal
Bhargav Ganguly
Vaneet Aggarwal
42
9
0
22 Feb 2021
Training Larger Networks for Deep Reinforcement Learning
Training Larger Networks for Deep Reinforcement Learning
Keita Ota
Devesh K. Jha
Asako Kanezaki
OffRL
17
39
0
16 Feb 2021
Measuring Progress in Deep Reinforcement Learning Sample Efficiency
Measuring Progress in Deep Reinforcement Learning Sample Efficiency
Florian E. Dorner
17
12
0
09 Feb 2021
Reverb: A Framework For Experience Replay
Reverb: A Framework For Experience Replay
Albin Cassirer
Gabriel Barth-Maron
E. Brevdo
Sabela Ramos
Toby Boyd
Thibault Sottiaux
M. Kroiss
VLM
OffRL
16
38
0
09 Feb 2021
Revisiting Prioritized Experience Replay: A Value Perspective
Revisiting Prioritized Experience Replay: A Value Perspective
Ang Li
Zongqing Lu
Chenglin Miao
14
9
0
05 Feb 2021
GST: Group-Sparse Training for Accelerating Deep Reinforcement Learning
GST: Group-Sparse Training for Accelerating Deep Reinforcement Learning
Juhyoung Lee
Sangyeob Kim
Sangjin Kim
Wooyoung Jo
H. Yoo
OffRL
21
9
0
24 Jan 2021
Shielding Atari Games with Bounded Prescience
Shielding Atari Games with Bounded Prescience
Mirco Giacobbe
Mohammadhosein Hasanbeig
Daniel Kroening
H. Wijk
8
23
0
20 Jan 2021
Flatland-RL : Multi-Agent Reinforcement Learning on Trains
Flatland-RL : Multi-Agent Reinforcement Learning on Trains
Sharada Mohanty
Erik Nygren
Florian Laurent
Manuel Schneider
Christian Scheller
...
Christian Baumberger
Gereon Vienken
Irene Sturm
Guillaume Sartoretti
G. Spigler
OffRL
29
58
0
10 Dec 2020
An Efficient Asynchronous Method for Integrating Evolutionary and
  Gradient-based Policy Search
An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search
Kyunghyun Lee
Byeong-uk Lee
Ukcheol Shin
In So Kweon
14
22
0
10 Dec 2020
Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game
  Environment for Multi-agent Reinforcement Learning
Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game Environment for Multi-agent Reinforcement Learning
Hangtian Jia
Yujing Hu
Yingfeng Chen
Chunxu Ren
Tangjie Lv
Changjie Fan
Chongjie Zhang
29
22
0
06 Dec 2020
Reinforcement Learning for Robust Missile Autopilot Design
Reinforcement Learning for Robust Missile Autopilot Design
Bernardo Cortez
6
2
0
26 Nov 2020
TLeague: A Framework for Competitive Self-Play based Distributed
  Multi-Agent Reinforcement Learning
TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning
Peng Sun
Jiechao Xiong
Lei Han
Xinghai Sun
Shuxing Li
Jiawei Xu
Meng Fang
Zhengyou Zhang
OffRL
LRM
25
19
0
25 Nov 2020
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem
Eric Liang
Zhanghao Wu
Michael Luo
Sven Mika
Joseph E. Gonzalez
Ion Stoica
AI4CE
21
9
0
25 Nov 2020
Distributed Deep Reinforcement Learning: An Overview
Distributed Deep Reinforcement Learning: An Overview
Mohammad Reza Samsami
Hossein Alimadad
OffRL
14
27
0
22 Nov 2020
Cooperative Heterogeneous Deep Reinforcement Learning
Cooperative Heterogeneous Deep Reinforcement Learning
Han Zheng
Pengfei Wei
Jing Jiang
Guodong Long
Qinghua Lu
Chengqi Zhang
49
12
0
02 Nov 2020
Softmax Deep Double Deterministic Policy Gradients
Softmax Deep Double Deterministic Policy Gradients
Ling Pan
Qingpeng Cai
Longbo Huang
72
86
0
19 Oct 2020
A Learning Approach to Robot-Agnostic Force-Guided High Precision
  Assembly
A Learning Approach to Robot-Agnostic Force-Guided High Precision Assembly
Jieliang Luo
Hui Li
4
18
0
15 Oct 2020
Learning Intrinsic Symbolic Rewards in Reinforcement Learning
Learning Intrinsic Symbolic Rewards in Reinforcement Learning
Hassam Sheikh
Shauharda Khadka
Santiago Miret
Somdeb Majumdar
OffRL
13
7
0
08 Oct 2020
Latent World Models For Intrinsically Motivated Exploration
Latent World Models For Intrinsically Motivated Exploration
Aleksandr Ermolov
N. Sebe
25
25
0
05 Oct 2020
Mastering Atari with Discrete World Models
Mastering Atari with Discrete World Models
Danijar Hafner
Timothy Lillicrap
Mohammad Norouzi
Jimmy Ba
DRL
48
810
0
05 Oct 2020
Disentangling causal effects for hierarchical reinforcement learning
Disentangling causal effects for hierarchical reinforcement learning
Oriol Corcoll
Raul Vicente
CML
12
9
0
03 Oct 2020
PettingZoo: Gym for Multi-Agent Reinforcement Learning
PettingZoo: Gym for Multi-Agent Reinforcement Learning
J. K. Terry
Benjamin Black
Nathaniel Grammel
Mario Jayakumar
Ananth Hari
...
Caroline Horsch
Clemens Dieffendahl
Niall L. Williams
Yashas Lokesh
Praveen Ravi
OffRL
16
270
0
30 Sep 2020
Lucid Dreaming for Experience Replay: Refreshing Past States with the
  Current Policy
Lucid Dreaming for Experience Replay: Refreshing Past States with the Current Policy
Yunshu Du
Garrett A. Warnell
A. Gebremedhin
Peter Stone
Matthew E. Taylor
19
10
0
29 Sep 2020
Agent Environment Cycle Games
J. K. Terry
Nathaniel Grammel
Benjamin Black
Ananth Hari
Caroline Horsch
L. Santos
13
7
0
28 Sep 2020
Multiplayer Support for the Arcade Learning Environment
Multiplayer Support for the Arcade Learning Environment
J. K. Terry
Benjamin Black
Luis Santos
15
13
0
20 Sep 2020
Sample-Efficient Automated Deep Reinforcement Learning
Sample-Efficient Automated Deep Reinforcement Learning
Jörg Franke
Gregor Koehler
André Biedenkapp
Frank Hutter
10
39
0
03 Sep 2020
Sample Efficiency in Sparse Reinforcement Learning: Or Your Money Back
Sample Efficiency in Sparse Reinforcement Learning: Or Your Money Back
Trevor A. McInroe
6
0
0
28 Aug 2020
Variable Compliance Control for Robotic Peg-in-Hole Assembly: A Deep
  Reinforcement Learning Approach
Variable Compliance Control for Robotic Peg-in-Hole Assembly: A Deep Reinforcement Learning Approach
C. C. Beltran-Hernandez
Damien Petit
I. Ramirez-Alpizar
Kensuke Harada
OffRL
22
157
0
24 Aug 2020
DMRO:A Deep Meta Reinforcement Learning-based Task Offloading Framework
  for Edge-Cloud Computing
DMRO:A Deep Meta Reinforcement Learning-based Task Offloading Framework for Edge-Cloud Computing
Guanjin Qu
Huaming Wu
OffRL
6
177
0
23 Aug 2020
Adversarial Imitation Learning via Random Search
Adversarial Imitation Learning via Random Search
Myungjae Shin
Joongheon Kim
6
11
0
21 Aug 2020
Deep Reinforcement Learning for Field Development Optimization
Deep Reinforcement Learning for Field Development Optimization
Y. Nasir
6
1
0
05 Aug 2020
Monte-Carlo Tree Search as Regularized Policy Optimization
Monte-Carlo Tree Search as Regularized Policy Optimization
Jean-Bastien Grill
Florent Altché
Yunhao Tang
Thomas Hubert
Michal Valko
Ioannis Antonoglou
Rémi Munos
19
73
0
24 Jul 2020
Understanding and Mitigating the Limitations of Prioritized Experience
  Replay
Understanding and Mitigating the Limitations of Prioritized Experience Replay
Yangchen Pan
Jincheng Mei
Amir-massoud Farahmand
Martha White
Hengshuai Yao
Mohsen Rohani
Jun Luo
8
11
0
19 Jul 2020
Enhanced detection of fetal pose in 3D MRI by Deep Reinforcement
  Learning with physical structure priors on anatomy
Enhanced detection of fetal pose in 3D MRI by Deep Reinforcement Learning with physical structure priors on anatomy
Molin Zhang
Junshen Xu
Esra Abaci Turk
P. E. Grant
Polina Golland
E. Adalsteinsson
9
12
0
16 Jul 2020
Revisiting Fundamentals of Experience Replay
Revisiting Fundamentals of Experience Replay
W. Fedus
Prajit Ramachandran
Rishabh Agarwal
Yoshua Bengio
Hugo Larochelle
Mark Rowland
Will Dabney
KELM
OffRL
22
232
0
13 Jul 2020
An Equivalence between Loss Functions and Non-Uniform Sampling in
  Experience Replay
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay
Scott Fujimoto
D. Meger
Doina Precup
11
56
0
12 Jul 2020
Simulating multi-exit evacuation using deep reinforcement learning
Simulating multi-exit evacuation using deep reinforcement learning
Dong Xu
Xiao Shi Huang
Joseph D Mango
Xiang Li
Zhenlong Li
8
19
0
11 Jul 2020
robo-gym -- An Open Source Toolkit for Distributed Deep Reinforcement
  Learning on Real and Simulated Robots
robo-gym -- An Open Source Toolkit for Distributed Deep Reinforcement Learning on Real and Simulated Robots
M. Lucchi
Friedemann Zindler
Stephan Mühlbacher-Karrer
Horst Pichler
OffRL
14
29
0
06 Jul 2020
Integrating Distributed Architectures in Highly Modular RL Libraries
Integrating Distributed Architectures in Highly Modular RL Libraries
Albert Bou
Sebastian Dittert
Gianni De Fabritiis
21
0
0
06 Jul 2020
Expected Eligibility Traces
Expected Eligibility Traces
H. V. Hasselt
Sephora Madjiheurem
Matteo Hessel
David Silver
André Barreto
Diana Borsa
8
37
0
03 Jul 2020
Group Equivariant Deep Reinforcement Learning
Group Equivariant Deep Reinforcement Learning
Arnab Kumar Mondal
Pratheeksha Nair
Kaleem Siddiqi
9
31
0
01 Jul 2020
Regularly Updated Deterministic Policy Gradient Algorithm
Regularly Updated Deterministic Policy Gradient Algorithm
Shuai Han
Wenbo Zhou
Shuai Lu
Jiayu Yu
11
22
0
01 Jul 2020
Experience Replay with Likelihood-free Importance Weights
Experience Replay with Likelihood-free Importance Weights
Samarth Sinha
Jiaming Song
Animesh Garg
Stefano Ermon
OffRL
17
55
0
23 Jun 2020
The Effect of Multi-step Methods on Overestimation in Deep Reinforcement
  Learning
The Effect of Multi-step Methods on Overestimation in Deep Reinforcement Learning
Lingheng Meng
R. Gorbet
Dana Kulić
OffRL
14
27
0
23 Jun 2020
Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with
  Asynchronous Reinforcement Learning
Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning
Aleksei Petrenko
Zhehui Huang
T. Kumar
Gaurav Sukhatme
V. Koltun
13
99
0
21 Jun 2020
Reinforcement Learning Control of Robotic Knee with Human in the Loop by
  Flexible Policy Iteration
Reinforcement Learning Control of Robotic Knee with Human in the Loop by Flexible Policy Iteration
Xiang Gao
J. Si
Yue Wen
Minhan Li
He
H. Huang
6
31
0
16 Jun 2020
Self-Imitation Learning via Generalized Lower Bound Q-learning
Self-Imitation Learning via Generalized Lower Bound Q-learning
Yunhao Tang
SSL
22
24
0
12 Jun 2020
Acme: A Research Framework for Distributed Reinforcement Learning
Acme: A Research Framework for Distributed Reinforcement Learning
Matthew W. Hoffman
Bobak Shahriari
John Aslanides
Gabriel Barth-Maron
Nikola Momchev
...
Srivatsan Srinivasan
A. Cowie
Ziyun Wang
Bilal Piot
Nando de Freitas
51
225
0
01 Jun 2020
Experience Augmentation: Boosting and Accelerating Off-Policy
  Multi-Agent Reinforcement Learning
Experience Augmentation: Boosting and Accelerating Off-Policy Multi-Agent Reinforcement Learning
Zhenhui Ye
Yining Chen
Guang-hua Song
Bowei Yang
Sheng Fan
OffRL
26
7
0
19 May 2020
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