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Prioritized Experience Replay
v1v2v3v4 (latest)

Prioritized Experience Replay

18 November 2015
Tom Schaul
John Quan
Ioannis Antonoglou
David Silver
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Prioritized Experience Replay"

50 / 1,454 papers shown
Title
Behavior-based Neuroevolutionary Training in Reinforcement Learning
Behavior-based Neuroevolutionary Training in Reinforcement Learning
Jörg Stork
Martin Zaefferer
Nils Eisler
Patrick Tichelmann
Thomas Bartz-Beielstein
A. E. Eiben
37
5
0
17 May 2021
Regret Minimization Experience Replay in Off-Policy Reinforcement
  Learning
Regret Minimization Experience Replay in Off-Policy Reinforcement Learning
Xu-Hui Liu
Zhenghai Xue
Jing-Cheng Pang
Shengyi Jiang
Feng Xu
Yang Yu
OffRL
73
37
0
15 May 2021
Non-decreasing Quantile Function Network with Efficient Exploration for
  Distributional Reinforcement Learning
Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning
Fan Zhou
Zhoufan Zhu
Qi Kuang
Liwen Zhang
OffRL
70
18
0
14 May 2021
Spectral Normalisation for Deep Reinforcement Learning: an Optimisation
  Perspective
Spectral Normalisation for Deep Reinforcement Learning: an Optimisation Perspective
Florin Gogianu
Tudor Berariu
Mihaela Rosca
Claudia Clopath
L. Buşoniu
Razvan Pascanu
86
56
0
11 May 2021
Deep Bandits Show-Off: Simple and Efficient Exploration with Deep
  Networks
Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networks
Rong Zhu
Mattia Rigotti
65
7
0
10 May 2021
PEARL: Parallelized Expert-Assisted Reinforcement Learning for Scene
  Rearrangement Planning
PEARL: Parallelized Expert-Assisted Reinforcement Learning for Scene Rearrangement Planning
Hanqing Wang
Zan Wang
Wei Liang
L. Yu
33
1
0
10 May 2021
CASA: Bridging the Gap between Policy Improvement and Policy Evaluation
  with Conflict Averse Policy Iteration
CASA: Bridging the Gap between Policy Improvement and Policy Evaluation with Conflict Averse Policy Iteration
Changnan Xiao
Haosen Shi
Jiajun Fan
Shihong Deng
Haiyan Yin
72
0
0
09 May 2021
Time-Aware Q-Networks: Resolving Temporal Irregularity for Deep
  Reinforcement Learning
Time-Aware Q-Networks: Resolving Temporal Irregularity for Deep Reinforcement Learning
Yeonji Kim
Min Chi
19
0
0
06 May 2021
Density-Aware Federated Imitation Learning for Connected and Automated
  Vehicles with Unsignalized Intersection
Density-Aware Federated Imitation Learning for Connected and Automated Vehicles with Unsignalized Intersection
Tianhao Wu
Mingzhi Jiang
Yinhui Han
Zheng Yuan
Lin Zhang
23
2
0
05 May 2021
On Lottery Tickets and Minimal Task Representations in Deep
  Reinforcement Learning
On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning
Marc Aurel Vischer
R. T. Lange
Henning Sprekeler
OODUQCVOffRL
91
25
0
04 May 2021
Generative Adversarial Reward Learning for Generalized Behavior Tendency
  Inference
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference
Xiaocong Chen
Lina Yao
Xianzhi Wang
Aixin Sun
Wenjie Zhang
Quan Z. Sheng
54
8
0
03 May 2021
Curious Exploration and Return-based Memory Restoration for Deep
  Reinforcement Learning
Curious Exploration and Return-based Memory Restoration for Deep Reinforcement Learning
Saeed Tafazzol
Erfan Fathi
Mahdi Rezaei
Ehsan Asali
18
2
0
02 May 2021
Pedestrian Collision Avoidance for Autonomous Vehicles at Unsignalized
  Intersection Using Deep Q-Network
Pedestrian Collision Avoidance for Autonomous Vehicles at Unsignalized Intersection Using Deep Q-Network
Kasra Mokhtari
Alan R. Wagner
38
6
0
01 May 2021
One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning
One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning
Chaosheng Dong
Xiaojie Jin
Weihao Gao
Yijia Wang
Hongyi Zhang
Xiang Wu
Jianchao Yang
Xiaobing Liu
77
5
0
27 Apr 2021
RP-DQN: An application of Q-Learning to Vehicle Routing Problems
RP-DQN: An application of Q-Learning to Vehicle Routing Problems
Ahmad Bdeir
Simon Boeder
Tim Dernedde
K. Tkachuk
Jonas K. Falkner
Lars Schmidt-Thieme
39
10
0
25 Apr 2021
A Deep Reinforcement Learning Approach for the Meal Delivery Problem
A Deep Reinforcement Learning Approach for the Meal Delivery Problem
H. Jahanshahi
Aysun Bozanta
Mucahit Cevik
E. M. Kavuk
Ayse Tosun Misirli
Sibel B. Sonuc
Bilgin Kosucu
Ayse Basar
69
28
0
24 Apr 2021
Class-Incremental Experience Replay for Continual Learning under Concept
  Drift
Class-Incremental Experience Replay for Continual Learning under Concept Drift
Lukasz Korycki
Bartosz Krawczyk
84
32
0
24 Apr 2021
Formula RL: Deep Reinforcement Learning for Autonomous Racing using
  Telemetry Data
Formula RL: Deep Reinforcement Learning for Autonomous Racing using Telemetry Data
Adrian Remonda
Sarah Krebs
Eduardo E. Veas
Granit Luzhnica
Roman Kern
OffRL
74
23
0
22 Apr 2021
A learning gap between neuroscience and reinforcement learning
A learning gap between neuroscience and reinforcement learning
Samuel T. Wauthier
Pietro Mazzaglia
Ozan Çatal
Cedric De Boom
Tim Verbelen
Bart Dhoedt
58
3
0
22 Apr 2021
Reinforcement Learning for Traffic Signal Control: Comparison with
  Commercial Systems
Reinforcement Learning for Traffic Signal Control: Comparison with Commercial Systems
Alvaro Cabrejas Egea
Raymond Zhang
N. Walton
74
11
0
21 Apr 2021
Planning with Expectation Models for Control
Planning with Expectation Models for Control
Katya Kudashkina
Yi Wan
Abhishek Naik
R. Sutton
OffRL
37
0
0
17 Apr 2021
Action Advising with Advice Imitation in Deep Reinforcement Learning
Action Advising with Advice Imitation in Deep Reinforcement Learning
Ercüment Ilhan
Jeremy Gow
Diego Perez-Liebana
38
11
0
17 Apr 2021
Learning and Planning in Complex Action Spaces
Learning and Planning in Complex Action Spaces
Thomas Hubert
Julian Schrittwieser
Ioannis Antonoglou
M. Barekatain
Simon Schmitt
David Silver
103
79
0
13 Apr 2021
Online and Offline Reinforcement Learning by Planning with a Learned
  Model
Online and Offline Reinforcement Learning by Planning with a Learned Model
Julian Schrittwieser
Thomas Hubert
Amol Mandhane
M. Barekatain
Ioannis Antonoglou
David Silver
OffRL
80
118
0
13 Apr 2021
Replay in Deep Learning: Current Approaches and Missing Biological
  Elements
Replay in Deep Learning: Current Approaches and Missing Biological Elements
Tyler L. Hayes
G. Krishnan
M. Bazhenov
H. Siegelmann
T. Sejnowski
Christopher Kanan
CLL
77
132
0
01 Apr 2021
Simultaneous Navigation and Construction Benchmarking Environments
Simultaneous Navigation and Construction Benchmarking Environments
Wenyu Han
Chen Feng
Haoran Wu
Alexander Gao
Armand Jordana
Dong Liu
Lerrel Pinto
Ludovic Righetti
27
0
0
31 Mar 2021
Deep Hedging of Derivatives Using Reinforcement Learning
Deep Hedging of Derivatives Using Reinforcement Learning
Jay Cao
Jacky Chen
J. Hull
Zissis Poulos
90
76
0
29 Mar 2021
Agent with Warm Start and Adaptive Dynamic Termination for Plane
  Localization in 3D Ultrasound
Agent with Warm Start and Adaptive Dynamic Termination for Plane Localization in 3D Ultrasound
Xin Yang
Haoran Dou
Ruobing Huang
Wufeng Xue
Yuhao Huang
...
H. Luo
Huizhi Guo
Tianfu Wang
Yi Xiong
Dong Ni
32
21
0
26 Mar 2021
Deep Reinforcement Learning for Mapless Navigation of a Hybrid Aerial
  Underwater Vehicle with Medium Transition
Deep Reinforcement Learning for Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Medium Transition
Ricardo B. Grando
J. C. Jesus
V. A. Kich
A. H. Kolling
Nicolas P. Bortoluzzi
P. Pinheiro
A. A. Neto
Paulo L. J. Drews-Jr
69
40
0
23 Mar 2021
Stochastic Reweighted Gradient Descent
Stochastic Reweighted Gradient Descent
Ayoub El Hanchi
D. Stephens
45
8
0
23 Mar 2021
Bayesian Distributional Policy Gradients
Bayesian Distributional Policy Gradients
Luchen Li
A. Faisal
BDLOffRL
69
9
0
20 Mar 2021
Learning to Recommend Frame for Interactive Video Object Segmentation in
  the Wild
Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild
Zhao-Heng Yin
Jia Zheng
Weixin Luo
Shenhan Qian
Hanling Zhang
Shenghua Gao
VOS
78
17
0
18 Mar 2021
Regularized Behavior Value Estimation
Regularized Behavior Value Estimation
Çağlar Gülçehre
Sergio Gomez Colmenarejo
Ziyun Wang
Jakub Sygnowski
T. Paine
Konrad Zolna
Yutian Chen
Matthew W. Hoffman
Razvan Pascanu
Nando de Freitas
OffRL
77
38
0
17 Mar 2021
Learning Symbolic Rules for Interpretable Deep Reinforcement Learning
Learning Symbolic Rules for Interpretable Deep Reinforcement Learning
Zhihao Ma
Yuzheng Zhuang
Paul Weng
Hankui Zhuo
Dong Li
Wulong Liu
Jianye Hao
NAI
140
14
0
15 Mar 2021
Mutual Information State Intrinsic Control
Mutual Information State Intrinsic Control
Rui Zhao
Yang Gao
Pieter Abbeel
Volker Tresp
Wenyuan Xu
SSL
58
25
0
15 Mar 2021
Learning robust driving policies without online exploration
Learning robust driving policies without online exploration
D. Graves
Nhat M. Nguyen
Kimia Hassanzadeh
Jun Jin
Jun Luo
OffRL
73
2
0
15 Mar 2021
A Vision Based Deep Reinforcement Learning Algorithm for UAV Obstacle
  Avoidance
A Vision Based Deep Reinforcement Learning Algorithm for UAV Obstacle Avoidance
Jeremy Roghair
Kyungtae Ko
Amir Ehsan Niaraki Asli
Ali Jannesari
74
33
0
11 Mar 2021
Full Gradient DQN Reinforcement Learning: A Provably Convergent Scheme
Full Gradient DQN Reinforcement Learning: A Provably Convergent Scheme
Konstantin Avrachenkov
Vivek Borkar
H. Dolhare
K. Patil
60
9
0
10 Mar 2021
Combining Learning from Demonstration with Learning by Exploration to
  Facilitate Contact-Rich Tasks
Combining Learning from Demonstration with Learning by Exploration to Facilitate Contact-Rich Tasks
Yunlei Shi
Zhaopeng Chen
Yansong Wu
Dimitri Henkel
Sebastian Riedel
Hongxu Liu
Qian Feng
Jianwei Zhang
138
13
0
10 Mar 2021
Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement
  Learning
Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning
Patrick Wenzel
Torsten Schön
Laura Leal-Taixé
Zorah Lähner
53
40
0
08 Mar 2021
Off-Belief Learning
Off-Belief Learning
Hengyuan Hu
Adam Lerer
Brandon Cui
David J. Wu
Luis Pineda
Noam Brown
Jakob N. Foerster
OffRL
65
73
0
06 Mar 2021
Selective Replay Enhances Learning in Online Continual Analogical
  Reasoning
Selective Replay Enhances Learning in Online Continual Analogical Reasoning
Tyler L. Hayes
Christopher Kanan
CLL
85
20
0
06 Mar 2021
A Dual-Memory Architecture for Reinforcement Learning on Neuromorphic
  Platforms
A Dual-Memory Architecture for Reinforcement Learning on Neuromorphic Platforms
W. Olin-Ammentorp
Yury Sokolov
M. Bazhenov
OffRL
66
4
0
05 Mar 2021
The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games
The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games
Chao Yu
Akash Velu
Eugene Vinitsky
Jiaxuan Gao
Yu Wang
Alexandre M. Bayen
Yi Wu
OffRL
245
1,294
0
02 Mar 2021
Offline Reinforcement Learning with Pseudometric Learning
Offline Reinforcement Learning with Pseudometric Learning
Robert Dadashi
Shideh Rezaeifar
Nino Vieillard
Léonard Hussenot
Olivier Pietquin
Matthieu Geist
OffRL
112
41
0
02 Mar 2021
Decision Making in Monopoly using a Hybrid Deep Reinforcement Learning
  Approach
Decision Making in Monopoly using a Hybrid Deep Reinforcement Learning Approach
Trevor Bonjour
Marina Haliem
A. Alsalem
Shilpa Thomas
Hongyu Li
Vaneet Aggarwal
Mayank Kejriwal
Bharat K. Bhargava
99
15
0
01 Mar 2021
Task-Agnostic Morphology Evolution
Task-Agnostic Morphology Evolution
D. Hejna
Pieter Abbeel
Lerrel Pinto
77
27
0
25 Feb 2021
Improved Regret Bound and Experience Replay in Regularized Policy
  Iteration
Improved Regret Bound and Experience Replay in Regularized Policy Iteration
N. Lazić
Dong Yin
Yasin Abbasi-Yadkori
Csaba Szepesvári
OffRL
60
18
0
25 Feb 2021
Domain-invariant NBV Planner for Active Cross-domain Self-localization
Domain-invariant NBV Planner for Active Cross-domain Self-localization
Kanji Tanaka
18
0
0
23 Feb 2021
Improved Learning of Robot Manipulation Tasks via Tactile Intrinsic
  Motivation
Improved Learning of Robot Manipulation Tasks via Tactile Intrinsic Motivation
Nikola Vulin
Sammy Christen
Stefan Stevšić
Otmar Hilliges
53
19
0
22 Feb 2021
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