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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
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
35
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
114
42
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
43
24
0
31 Aug 2020
Ranking Policy Decisions
Ranking Policy Decisions
Hadrien Pouget
Hana Chockler
Youcheng Sun
Daniel Kroening
OffRL
49
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
117
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
38
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
71
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
90
28
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
30
0
0
16 Aug 2020
Reinforcement Learning with Quantum Variational Circuits
Reinforcement Learning with Quantum Variational Circuits
Owen Lockwood
Mei Si
75
140
0
15 Aug 2020
Interactive Visualization for Debugging RL
Interactive Visualization for Debugging RL
Shuby Deshpande
Benjamin Eysenbach
J. Schneider
77
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
68
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
36
1
0
10 Aug 2020
ARCADe: A Rapid Continual Anomaly Detector
ARCADe: A Rapid Continual Anomaly Detector
A. Frikha
Denis Krompass
Volker Tresp
72
11
0
10 Aug 2020
Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a
  Braille Keyboard
Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a Braille Keyboard
Alex Church
John Lloyd
R. Hadsell
Nathan Lepora
80
31
0
06 Aug 2020
A Comparative Analysis of Deep Reinforcement Learning-enabled Freeway
  Decision-making for Automated Vehicles
A Comparative Analysis of Deep Reinforcement Learning-enabled Freeway Decision-making for Automated Vehicles
Teng Liu
Yuyou Yang
Wenxuan Xiao
Xiaolin Tang
Mingzhu Yin
62
5
0
04 Aug 2020
Curriculum Learning with a Progression Function
Curriculum Learning with a Progression Function
Andrea Bassich
Francesco Foglino
Matteo Leonetti
D. Kudenko
ODL
88
6
0
02 Aug 2020
V2I Connectivity-Based Dynamic Queue-Jump Lane for Emergency Vehicles: A
  Deep Reinforcement Learning Approach
V2I Connectivity-Based Dynamic Queue-Jump Lane for Emergency Vehicles: A Deep Reinforcement Learning Approach
Haoran Su
Kejian Shi
Li Jin
Joseph Y. J. Chow
59
0
0
01 Aug 2020
Modular Transfer Learning with Transition Mismatch Compensation for
  Excessive Disturbance Rejection
Modular Transfer Learning with Transition Mismatch Compensation for Excessive Disturbance Rejection
Tianming Wang
Wenjie Lu
H. Yu
Dikai Liu
87
1
0
29 Jul 2020
Munchausen Reinforcement Learning
Munchausen Reinforcement Learning
Nino Vieillard
Olivier Pietquin
Matthieu Geist
OffRL
69
90
0
28 Jul 2020
Adaptive Height Optimisation for Cellular-Connected UAVs using
  Reinforcement Learning
Adaptive Height Optimisation for Cellular-Connected UAVs using Reinforcement Learning
Erika Fonseca
Boris Galkin
Ramy Amer
Luiz DaSilva
Ivana Dusparic
19
6
0
27 Jul 2020
Complex Robotic Manipulation via Graph-Based Hindsight Goal Generation
Complex Robotic Manipulation via Graph-Based Hindsight Goal Generation
Zhenshan Bing
Matthias Brucker
F. O. Morin
Kai-Qi Huang
Alois C. Knoll
73
27
0
27 Jul 2020
Variance Reduction for Deep Q-Learning using Stochastic Recursive
  Gradient
Variance Reduction for Deep Q-Learning using Stochastic Recursive Gradient
Hao Jia
Xiao Zhang
Jun Xu
Wei Zeng
Hao Jiang
Xiao Yan
Ji-Rong Wen
79
3
0
25 Jul 2020
Distributional Reinforcement Learning via Moment Matching
Distributional Reinforcement Learning via Moment Matching
Thanh Tang Nguyen
Sunil R. Gupta
Svetha Venkatesh
OOD
22
22
0
24 Jul 2020
Bridging the Imitation Gap by Adaptive Insubordination
Bridging the Imitation Gap by Adaptive Insubordination
Luca Weihs
Unnat Jain
Iou-Jen Liu
Jordi Salvador
Svetlana Lazebnik
Aniruddha Kembhavi
Alex Schwing
91
36
0
23 Jul 2020
ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning
  for Session-based Recommendation
ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation
Fei Mi
Xiao Lin
Boi Faltings
CLL
89
53
0
23 Jul 2020
Adaptive Traffic Control with Deep Reinforcement Learning: Towards
  State-of-the-art and Beyond
Adaptive Traffic Control with Deep Reinforcement Learning: Towards State-of-the-art and Beyond
Siavash Alemzadeh
Ramin Moslemi
Ratnesh K. Sharma
M. Mesbahi
OffRL
36
5
0
21 Jul 2020
Integrating Deep Reinforcement Learning Networks with Health System
  Simulations
Integrating Deep Reinforcement Learning Networks with Health System Simulations
Michael Allen
T. Monks
AI4CE
41
4
0
21 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
69
12
0
19 Jul 2020
CATCH: Context-based Meta Reinforcement Learning for Transferrable
  Architecture Search
CATCH: Context-based Meta Reinforcement Learning for Transferrable Architecture Search
Xin Chen
Yawen Duan
Zewei Chen
Hang Xu
Zihao Chen
Xiaodan Liang
Tong Zhang
Zhenguo Li
OffRL
80
21
0
18 Jul 2020
Analysis of Q-learning with Adaptation and Momentum Restart for Gradient
  Descent
Analysis of Q-learning with Adaptation and Momentum Restart for Gradient Descent
Chuhan Wu
Fangzhao Wu
Tao Qi
Yongfeng Huang
51
25
0
15 Jul 2020
Learning to Sample with Local and Global Contexts in Experience Replay
  Buffer
Learning to Sample with Local and Global Contexts in Experience Replay Buffer
Youngmin Oh
Kimin Lee
Jinwoo Shin
Eunho Yang
Sung Ju Hwang
OffRL
66
16
0
14 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
KELMOffRL
100
242
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
David Meger
Doina Precup
96
58
0
12 Jul 2020
Relational-Grid-World: A Novel Relational Reasoning Environment and An
  Agent Model for Relational Information Extraction
Relational-Grid-World: A Novel Relational Reasoning Environment and An Agent Model for Relational Information Extraction
Faruk Küçüksubasi
Elif Surer
34
2
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
25
23
0
11 Jul 2020
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep
  Reinforcement Learning
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
Kimin Lee
Michael Laskin
A. Srinivas
Pieter Abbeel
OffRL
119
205
0
09 Jul 2020
Auto-MAP: A DQN Framework for Exploring Distributed Execution Plans for
  DNN Workloads
Auto-MAP: A DQN Framework for Exploring Distributed Execution Plans for DNN Workloads
Siyu Wang
Yi Rong
Shiqing Fan
Zhen Zheng
Lansong Diao
Guoping Long
Jun Yang
Xiaoyong Liu
Wei Lin
68
9
0
08 Jul 2020
Double Prioritized State Recycled Experience Replay
Double Prioritized State Recycled Experience Replay
Fanchen Bu
D. Chang
OffRL
40
11
0
08 Jul 2020
Deep Reinforcement Learning and its Neuroscientific Implications
Deep Reinforcement Learning and its Neuroscientific Implications
M. Botvinick
Jane X. Wang
Will Dabney
Kevin J. Miller
Z. Kurth-Nelson
OffRLAI4CE
97
176
0
07 Jul 2020
Guided Exploration with Proximal Policy Optimization using a Single
  Demonstration
Guided Exploration with Proximal Policy Optimization using a Single Demonstration
Gabriele Libardi
Gianni De Fabritiis
58
24
0
07 Jul 2020
Predictive Maintenance for Edge-Based Sensor Networks: A Deep
  Reinforcement Learning Approach
Predictive Maintenance for Edge-Based Sensor Networks: A Deep Reinforcement Learning Approach
Kevin Shen-Hoong Ong
Dusit Niyato
Chau Yuen
24
24
0
07 Jul 2020
Counterfactual Data Augmentation using Locally Factored Dynamics
Counterfactual Data Augmentation using Locally Factored Dynamics
Silviu Pitis
Elliot Creager
Animesh Garg
BDLOffRL
115
89
0
06 Jul 2020
Selective Dyna-style Planning Under Limited Model Capacity
Selective Dyna-style Planning Under Limited Model Capacity
Zaheer Abbas
Samuel Sokota
Erin J. Talvitie
Martha White
93
34
0
05 Jul 2020
Expected Eligibility Traces
Expected Eligibility Traces
H. V. Hasselt
Sephora Madjiheurem
Matteo Hessel
David Silver
André Barreto
Diana Borsa
64
38
0
03 Jul 2020
DynNet: Physics-based neural architecture design for linear and
  nonlinear structural response modeling and prediction
DynNet: Physics-based neural architecture design for linear and nonlinear structural response modeling and prediction
S. S. Eshkevari
Martin Takávc
S. Pakzad
Majid Jahani
AI4CE
25
14
0
03 Jul 2020
Decentralized Deep Reinforcement Learning for Network Level Traffic
  Signal Control
Decentralized Deep Reinforcement Learning for Network Level Traffic Signal Control
Jinqiu Guo
23
1
0
02 Jul 2020
Gradient Temporal-Difference Learning with Regularized Corrections
Gradient Temporal-Difference Learning with Regularized Corrections
Sina Ghiassian
Andrew Patterson
Shivam Garg
Dhawal Gupta
Adam White
Martha White
175
42
0
01 Jul 2020
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural
  Networks with Replay Processes
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes
Timothée Lesort
CLL
85
22
0
01 Jul 2020
Group Equivariant Deep Reinforcement Learning
Group Equivariant Deep Reinforcement Learning
Arnab Kumar Mondal
Pratheeksha Nair
Kaleem Siddiqi
61
34
0
01 Jul 2020
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