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Prioritized Experience Replay

Prioritized Experience Replay

18 November 2015
Tom Schaul
John Quan
Ioannis Antonoglou
David Silver
    OffRL
ArXivPDFHTML

Papers citing "Prioritized Experience Replay"

50 / 1,441 papers shown
Title
DeepFoldit -- A Deep Reinforcement Learning Neural Network Folding
  Proteins
DeepFoldit -- A Deep Reinforcement Learning Neural Network Folding Proteins
Dimitra N. Panou
M. Reczko
33
3
0
28 Oct 2020
Learning to Represent Action Values as a Hypergraph on the Action
  Vertices
Learning to Represent Action Values as a Hypergraph on the Action Vertices
Arash Tavakoli
Mehdi Fatemi
Petar Kormushev
19
23
0
28 Oct 2020
Optimal Client Sampling for Federated Learning
Optimal Client Sampling for Federated Learning
Jiajun He
Samuel Horváth
Peter Richtárik
FedML
52
192
0
26 Oct 2020
Forethought and Hindsight in Credit Assignment
Forethought and Hindsight in Credit Assignment
Veronica Chelu
Doina Precup
H. V. Hasselt
32
25
0
26 Oct 2020
CoinDICE: Off-Policy Confidence Interval Estimation
CoinDICE: Off-Policy Confidence Interval Estimation
Bo Dai
Ofir Nachum
Yinlam Chow
Lihong Li
Csaba Szepesvári
Dale Schuurmans
OffRL
34
84
0
22 Oct 2020
Deep Surrogate Q-Learning for Autonomous Driving
Deep Surrogate Q-Learning for Autonomous Driving
M. Kalweit
Gabriel Kalweit
M. Werling
Joschka Boedecker
OffRL
26
5
0
21 Oct 2020
Logistic Q-Learning
Logistic Q-Learning
Joan Bas-Serrano
Sebastian Curi
Andreas Krause
Gergely Neu
36
40
0
21 Oct 2020
Improving Generalization in Reinforcement Learning with Mixture
  Regularization
Improving Generalization in Reinforcement Learning with Mixture Regularization
Kaixin Wang
Bingyi Kang
Jie Shao
Jiashi Feng
114
117
0
21 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
20
18
0
15 Oct 2020
Deep Reinforcement Learning and Transportation Research: A Comprehensive
  Review
Deep Reinforcement Learning and Transportation Research: A Comprehensive Review
Nahid Parvez Farazi
T. Ahamed
Limon Barua
Bo Zou
AI4TS
27
18
0
13 Oct 2020
Instance Weighted Incremental Evolution Strategies for Reinforcement
  Learning in Dynamic Environments
Instance Weighted Incremental Evolution Strategies for Reinforcement Learning in Dynamic Environments
Zhi Wang
Chunlin Chen
D. Dong
8
12
0
09 Oct 2020
Parameterized Reinforcement Learning for Optical System Optimization
Parameterized Reinforcement Learning for Optical System Optimization
H. Wankerl
M. L. Stern
Ali Mahdavi
C. Eichler
E. Lang
71
23
0
09 Oct 2020
Prioritized Level Replay
Prioritized Level Replay
Minqi Jiang
Edward Grefenstette
Tim Rocktaschel
OffRL
24
153
0
08 Oct 2020
Neural Mask Generator: Learning to Generate Adaptive Word Maskings for
  Language Model Adaptation
Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation
Minki Kang
Moonsu Han
Sung Ju Hwang
OOD
25
18
0
06 Oct 2020
The Effectiveness of Memory Replay in Large Scale Continual Learning
The Effectiveness of Memory Replay in Large Scale Continual Learning
Yogesh Balaji
Mehrdad Farajtabar
Dong Yin
Alex Mott
Ang Li
32
38
0
06 Oct 2020
Sentiment Analysis for Reinforcement Learning
Sentiment Analysis for Reinforcement Learning
Ameet Deshpande
Eve Fleisig
26
0
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
58
832
0
05 Oct 2020
Policy Learning Using Weak Supervision
Policy Learning Using Weak Supervision
Jingkang Wang
Hongyi Guo
Zhaowei Zhu
Yang Liu
OffRL
37
14
0
05 Oct 2020
Episodic Memory for Learning Subjective-Timescale Models
Episodic Memory for Learning Subjective-Timescale Models
Alexey Zakharov
Matthew Crosby
Zafeirios Fountas
19
4
0
03 Oct 2020
Disentangling causal effects for hierarchical reinforcement learning
Disentangling causal effects for hierarchical reinforcement learning
Oriol Corcoll
Raul Vicente
CML
22
9
0
03 Oct 2020
Correcting Experience Replay for Multi-Agent Communication
Correcting Experience Replay for Multi-Agent Communication
S. Ahilan
Peter Dayan
25
10
0
02 Oct 2020
Continual Learning for Natural Language Generation in Task-oriented
  Dialog Systems
Continual Learning for Natural Language Generation in Task-oriented Dialog Systems
Fei Mi
Liangwei Chen
Mengjie Zhao
Minlie Huang
Boi Faltings
CLL
KELM
26
69
0
02 Oct 2020
Student-Initiated Action Advising via Advice Novelty
Student-Initiated Action Advising via Advice Novelty
Ercüment Ilhan
Jeremy Gow
Diego Perez
13
8
0
01 Oct 2020
Deep Reinforcement Learning for Efficient Measurement of Quantum Devices
Deep Reinforcement Learning for Efficient Measurement of Quantum Devices
Vu-Linh Nguyen
S. B. Orbell
D. Lennon
H. Moon
F. Vigneau
...
D. Zumbuhl
G. Briggs
Michael A. Osborne
D. Sejdinovic
N. Ares
30
39
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
34
10
0
29 Sep 2020
Enhancing a Neurocognitive Shared Visuomotor Model for Object
  Identification, Localization, and Grasping With Learning From Auxiliary Tasks
Enhancing a Neurocognitive Shared Visuomotor Model for Object Identification, Localization, and Grasping With Learning From Auxiliary Tasks
Matthias Kerzel
Fares Abawi
Manfred Eppe
S. Wermter
22
3
0
26 Sep 2020
Lineage Evolution Reinforcement Learning
Lineage Evolution Reinforcement Learning
Zeyu Zhang
Guisheng Yin
14
0
0
26 Sep 2020
Multi-Agent Deep Reinforcement Learning Based Trajectory Planning for
  Multi-UAV Assisted Mobile Edge Computing
Multi-Agent Deep Reinforcement Learning Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing
Liang Wang
Kezhi Wang
Cunhua Pan
Wenyuan Xu
N. Aslam
L. Hanzo
27
283
0
23 Sep 2020
Is Q-Learning Provably Efficient? An Extended Analysis
Is Q-Learning Provably Efficient? An Extended Analysis
Kushagra Rastogi
Jonathan Lee
Fabrice Harel-Canada
Aditya Sunil Joglekar
OffRL
19
1
0
22 Sep 2020
Deep Reinforcement Learning Methods for Structure-Guided Processing Path
  Optimization
Deep Reinforcement Learning Methods for Structure-Guided Processing Path Optimization
Johannes Dornheim
L. Morand
Samuel Zeitvogel
Tarek Iraki
Norbert Link
Dirk Helm
14
21
0
21 Sep 2020
Efficient Reinforcement Learning Development with RLzoo
Efficient Reinforcement Learning Development with RLzoo
Zihan Ding
Tianyang Yu
Yanhua Huang
Hongming Zhang
Guo Li
Quancheng Guo
Kai Zou
Hao Dong
OffRL
OnRL
23
6
0
18 Sep 2020
Knowledge-Assisted Deep Reinforcement Learning in 5G Scheduler Design:
  From Theoretical Framework to Implementation
Knowledge-Assisted Deep Reinforcement Learning in 5G Scheduler Design: From Theoretical Framework to Implementation
Zhouyou Gu
Changyang She
Wibowo Hardjawana
Simon Lumb
David McKechnie
Todd Essery
Branka Vucetic
39
68
0
17 Sep 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
48
79
0
17 Sep 2020
Transfer Learning in Deep Reinforcement Learning: A Survey
Transfer Learning in Deep Reinforcement Learning: A Survey
Zhuangdi Zhu
Kaixiang Lin
Anil K. Jain
Jiayu Zhou
OffRL
LRM
35
572
0
16 Sep 2020
Soft policy optimization using dual-track advantage estimator
Soft policy optimization using dual-track advantage estimator
Yubo Huang
Xuechun Wang
Luobao Zou
Zhiwei Zhuang
Weidong Zhang
6
3
0
15 Sep 2020
A Tutorial on Ultra-Reliable and Low-Latency Communications in 6G:
  Integrating Domain Knowledge into Deep Learning
A Tutorial on Ultra-Reliable and Low-Latency Communications in 6G: Integrating Domain Knowledge into Deep Learning
Changyang She
Chengjian Sun
Zhouyou Gu
Yonghui Li
Chenyang Yang
H. Vincent Poor
Branka Vucetic
27
17
0
13 Sep 2020
Tactical Decision Making for Emergency Vehicles Based on A Combinational
  Learning Method
Tactical Decision Making for Emergency Vehicles Based on A Combinational Learning Method
Haoyi Niu
Jianming Hu
Zheyu Cui
Yi Zhang
18
2
0
09 Sep 2020
Sample-Efficient Automated Deep Reinforcement Learning
Sample-Efficient Automated Deep Reinforcement Learning
Jörg Franke
Gregor Koehler
André Biedenkapp
Frank Hutter
36
39
0
03 Sep 2020
Reinforced Axial Refinement Network for Monocular 3D Object Detection
Reinforced Axial Refinement Network for Monocular 3D Object Detection
Lijie Liu
Chufan Wu
Jiwen Lu
Lingxi Xie
Jie Zhou
Qi Tian
3DPC
14
24
0
31 Aug 2020
Ranking Policy Decisions
Ranking Policy Decisions
Hadrien Pouget
Hana Chockler
Youcheng Sun
Daniel Kroening
OffRL
25
6
0
31 Aug 2020
Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning
  Systems
Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning Systems
Vinicius G. Goecks
38
11
0
30 Aug 2020
Sample Efficiency in Sparse Reinforcement Learning: Or Your Money Back
Sample Efficiency in Sparse Reinforcement Learning: Or Your Money Back
Trevor A. McInroe
16
0
0
28 Aug 2020
Curriculum Learning with Hindsight Experience Replay for Sequential
  Object Manipulation Tasks
Curriculum Learning with Hindsight Experience Replay for Sequential Object Manipulation Tasks
Binyamin Manela
Armin Biess
37
28
0
21 Aug 2020
A Survey of Deep Learning for Data Caching in Edge Network
A Survey of Deep Learning for Data Caching in Edge Network
Yantong Wang
V. Friderikos
21
27
0
17 Aug 2020
An adaptive synchronization approach for weights of deep reinforcement
  learning
An adaptive synchronization approach for weights of deep reinforcement learning
S. Badran
M. Rezghi
13
0
0
16 Aug 2020
Reinforcement Learning with Quantum Variational Circuits
Reinforcement Learning with Quantum Variational Circuits
Owen Lockwood
Mei Si
14
138
0
15 Aug 2020
Interactive Visualization for Debugging RL
Interactive Visualization for Debugging RL
Shuby Deshpande
Benjamin Eysenbach
J. Schneider
30
7
0
14 Aug 2020
REMAX: Relational Representation for Multi-Agent Exploration
REMAX: Relational Representation for Multi-Agent Exploration
Heechang Ryu
Hayong Shin
Jinkyoo Park
35
4
0
12 Aug 2020
Improving Intelligence of Evolutionary Algorithms Using Experience Share
  and Replay
Improving Intelligence of Evolutionary Algorithms Using Experience Share and Replay
M. Radaideh
K. Shirvan
11
1
0
10 Aug 2020
ARCADe: A Rapid Continual Anomaly Detector
ARCADe: A Rapid Continual Anomaly Detector
A. Frikha
Denis Krompass
Volker Tresp
24
11
0
10 Aug 2020
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