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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
Proximal Policy Optimization with Mixed Distributed Training
Proximal Policy Optimization with Mixed Distributed Training
Zhenyu Zhang
Xiangfeng Luo
Tong Liu
Shaorong Xie
Jianshu Wang
Wei Wang
Yongbin Li
Yan Peng
OffRL
41
21
0
15 Jul 2019
A Dual Memory Structure for Efficient Use of Replay Memory in Deep
  Reinforcement Learning
A Dual Memory Structure for Efficient Use of Replay Memory in Deep Reinforcement Learning
Wonshick Ko
D. Chang
OffRL
30
4
0
15 Jul 2019
Deep Reinforcement-Learning-based Driving Policy for Autonomous Road
  Vehicles
Deep Reinforcement-Learning-based Driving Policy for Autonomous Road Vehicles
Konstantinos Makantasis
Maria Kontorinaki
I. Nikolos
45
33
0
10 Jul 2019
An Optimistic Perspective on Offline Reinforcement Learning
An Optimistic Perspective on Offline Reinforcement Learning
Rishabh Agarwal
Dale Schuurmans
Mohammad Norouzi
OffRLOnRL
113
70
0
10 Jul 2019
Influence maximization in unknown social networks: Learning Policies for
  Effective Graph Sampling
Influence maximization in unknown social networks: Learning Policies for Effective Graph Sampling
Harshavardhan Kamarthi
Priyesh Vijayan
Bryan Wilder
Balaraman Ravindran
Milind Tambe
36
38
0
08 Jul 2019
Intrinsic Motivation Driven Intuitive Physics Learning using Deep
  Reinforcement Learning with Intrinsic Reward Normalization
Intrinsic Motivation Driven Intuitive Physics Learning using Deep Reinforcement Learning with Intrinsic Reward Normalization
Jae-Woo Choi
Sung-eui Yoon
AI4CEPINN
59
3
0
06 Jul 2019
MULEX: Disentangling Exploitation from Exploration in Deep RL
MULEX: Disentangling Exploitation from Exploration in Deep RL
Lucas Beyer
Damien Vincent
O. Teboul
Sylvain Gelly
Matthieu Geist
Olivier Pietquin
50
14
0
01 Jul 2019
Continual Learning for Robotics: Definition, Framework, Learning
  Strategies, Opportunities and Challenges
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges
Timothée Lesort
Vincenzo Lomonaco
Andrei Stoian
Davide Maltoni
David Filliat
Natalia Díaz Rodríguez
CLL
139
250
0
29 Jun 2019
Generalization to Novel Objects using Prior Relational Knowledge
Generalization to Novel Objects using Prior Relational Knowledge
V. Vijay
Abhinav Ganesh
Hanlin Tang
Arjun K. Bansal
GNN
52
6
0
26 Jun 2019
Cooperation-Aware Reinforcement Learning for Merging in Dense Traffic
Cooperation-Aware Reinforcement Learning for Merging in Dense Traffic
Maxime Bouton
A. Nakhaei
K. Fujimura
Mykel J. Kochenderfer
102
90
0
26 Jun 2019
On Multi-Agent Learning in Team Sports Games
On Multi-Agent Learning in Team Sports Games
Yunqi Zhao
Igor Borovikov
J. Rupert
C. Somers
Ahmad Beirami
54
14
0
25 Jun 2019
Multi-Agent Deep Reinforcement Learning for Liquidation Strategy
  Analysis
Multi-Agent Deep Reinforcement Learning for Liquidation Strategy Analysis
Wenhang Bao
Xiao-Yang Liu
AIFin
84
43
0
24 Jun 2019
Modern Deep Reinforcement Learning Algorithms
Modern Deep Reinforcement Learning Algorithms
Sergey Ivanov
A. Dýakonov
OffRL
61
39
0
24 Jun 2019
In Hindsight: A Smooth Reward for Steady Exploration
In Hindsight: A Smooth Reward for Steady Exploration
H. Jomaa
Josif Grabocka
Lars Schmidt-Thieme
20
0
0
24 Jun 2019
Optimal Use of Experience in First Person Shooter Environments
Optimal Use of Experience in First Person Shooter Environments
Matthew Aitchison
37
2
0
24 Jun 2019
Ranking Policy Gradient
Ranking Policy Gradient
Kaixiang Lin
Jiayu Zhou
OffRL
67
7
0
24 Jun 2019
Continual Reinforcement Learning with Diversity Exploration and
  Adversarial Self-Correction
Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction
Fengda Zhu
Xiaojun Chang
Runhao Zeng
Mingkui Tan
CLL
52
3
0
21 Jun 2019
A Deep Reinforcement Learning Approach for Global Routing
A Deep Reinforcement Learning Approach for Global Routing
Haiguang Liao
Wentai Zhang
Xuliang Dong
Barnabás Póczós
K. Shimada
Levent Burak Kara
57
84
0
20 Jun 2019
Finding Needles in a Moving Haystack: Prioritizing Alerts with
  Adversarial Reinforcement Learning
Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning
Liang Tong
Aron Laszka
Chao Yan
Ning Zhang
Yevgeniy Vorobeychik
AAML
54
18
0
20 Jun 2019
Experience Replay Optimization
Experience Replay Optimization
Daochen Zha
Kwei-Herng Lai
Kaixiong Zhou
Helen Zhou
OffRL
59
105
0
19 Jun 2019
Hill Climbing on Value Estimates for Search-control in Dyna
Hill Climbing on Value Estimates for Search-control in Dyna
Yangchen Pan
Hengshuai Yao
Amir-massoud Farahmand
Martha White
90
18
0
18 Jun 2019
Learning-Driven Exploration for Reinforcement Learning
Learning-Driven Exploration for Reinforcement Learning
Muhammad Usama
D. Chang
67
11
0
17 Jun 2019
Deep Reinforcement Learning for Cyber Security
Deep Reinforcement Learning for Cyber Security
Thanh Thi Nguyen
Vijay Janapa Reddi
OffRLAI4CE
117
335
0
13 Jun 2019
When to use parametric models in reinforcement learning?
When to use parametric models in reinforcement learning?
H. V. Hasselt
Matteo Hessel
John Aslanides
95
196
0
12 Jun 2019
Importance Resampling for Off-policy Prediction
Importance Resampling for Off-policy Prediction
M. Schlegel
Wesley Chung
Daniel Graves
Jian Qian
Martha White
OffRL
57
41
0
11 Jun 2019
Exploration via Hindsight Goal Generation
Exploration via Hindsight Goal Generation
Zhizhou Ren
Kefan Dong
Yuanshuo Zhou
Qiang Liu
Jian-wei Peng
87
90
0
10 Jun 2019
Boosting Soft Actor-Critic: Emphasizing Recent Experience without
  Forgetting the Past
Boosting Soft Actor-Critic: Emphasizing Recent Experience without Forgetting the Past
Che Wang
George Andriopoulos
51
45
0
10 Jun 2019
Deep Reinforcement Learning with Discrete Normalized Advantage Functions
  for Resource Management in Network Slicing
Deep Reinforcement Learning with Discrete Normalized Advantage Functions for Resource Management in Network Slicing
Chen Qi
Yuxiu Hua
Rongpeng Li
Zhifeng Zhao
Honggang Zhang
73
68
0
10 Jun 2019
Deep Q-Learning for Directed Acyclic Graph Generation
Deep Q-Learning for Directed Acyclic Graph Generation
Laura DÁrcy
P. Corcoran
Alun D. Preece
BDLGNN
32
5
0
05 Jun 2019
BayesSim: adaptive domain randomization via probabilistic inference for
  robotics simulators
BayesSim: adaptive domain randomization via probabilistic inference for robotics simulators
F. Ramos
Rafael Possas
Dieter Fox
62
158
0
04 Jun 2019
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction
Aviral Kumar
Justin Fu
George Tucker
Sergey Levine
OffRLOnRL
156
1,070
0
03 Jun 2019
Partial Scanning Transmission Electron Microscopy with Deep Learning
Partial Scanning Transmission Electron Microscopy with Deep Learning
Jeffrey M. Ede
R. Beanland
MedIm
137
22
0
31 May 2019
AgentGraph: Towards Universal Dialogue Management with Structured Deep
  Reinforcement Learning
AgentGraph: Towards Universal Dialogue Management with Structured Deep Reinforcement Learning
Lu Chen
Zhi Chen
Bowen Tan
Sishan Long
Milica Gasic
Kai Yu
79
35
0
27 May 2019
Policy Search by Target Distribution Learning for Continuous Control
Policy Search by Target Distribution Learning for Continuous Control
Wei Shen
Yuanqi Li
Jian Li
60
6
0
27 May 2019
Prioritized Sequence Experience Replay
Prioritized Sequence Experience Replay
Marc Brittain
J. R. Bertram
Xuxi Yang
Peng Wei
73
45
0
25 May 2019
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning
Rui Zhao
Xudong Sun
Volker Tresp
69
83
0
21 May 2019
Stochastic Variance Reduction for Deep Q-learning
Stochastic Variance Reduction for Deep Q-learning
Wei Zhao
Xiya Guan
Yang Liu
Xiaoming Zhao
Jian-wei Peng
53
14
0
20 May 2019
Combining Experience Replay with Exploration by Random Network
  Distillation
Combining Experience Replay with Exploration by Random Network Distillation
Francesco Sovrano
61
15
0
18 May 2019
Deep Reinforcement Learning-Based Channel Allocation for Wireless LANs
  with Graph Convolutional Networks
Deep Reinforcement Learning-Based Channel Allocation for Wireless LANs with Graph Convolutional Networks
Kota Nakashima
Shotaro Kamiya
K. Ohtsu
Koji Yamamoto
Takayuki Nishio
M. Morikura
48
56
0
17 May 2019
Trajectory-Based Off-Policy Deep Reinforcement Learning
Trajectory-Based Off-Policy Deep Reinforcement Learning
Andreas Doerr
Michael Volpp
Marc Toussaint
Sebastian Trimpe
Christian Daniel
OffRL
66
2
0
14 May 2019
Bias-Reduced Hindsight Experience Replay with Virtual Goal
  Prioritization
Bias-Reduced Hindsight Experience Replay with Virtual Goal Prioritization
Binyamin Manela
Armin Biess
44
23
0
14 May 2019
Design of Artificial Intelligence Agents for Games using Deep
  Reinforcement Learning
Design of Artificial Intelligence Agents for Games using Deep Reinforcement Learning
A. Roibu
63
1
0
10 May 2019
Accelerated Target Updates for Q-learning
Bowen Weng
Huaqing Xiong
Wei Zhang
23
0
0
07 May 2019
Comprehensible Context-driven Text Game Playing
Comprehensible Context-driven Text Game Playing
Xusen Yin
Jonathan May
70
33
0
06 May 2019
Curious Meta-Controller: Adaptive Alternation between Model-Based and
  Model-Free Control in Deep Reinforcement Learning
Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning
Muhammad Burhan Hafez
C. Weber
Matthias Kerzel
S. Wermter
32
10
0
05 May 2019
Generative Adversarial Imagination for Sample Efficient Deep
  Reinforcement Learning
Generative Adversarial Imagination for Sample Efficient Deep Reinforcement Learning
Kacper Kielak
GAN
23
0
0
30 Apr 2019
Ray Interference: a Source of Plateaus in Deep Reinforcement Learning
Ray Interference: a Source of Plateaus in Deep Reinforcement Learning
Tom Schaul
Diana Borsa
Joseph Modayil
Razvan Pascanu
79
63
0
25 Apr 2019
Continuous-Time Mean-Variance Portfolio Selection: A Reinforcement
  Learning Framework
Continuous-Time Mean-Variance Portfolio Selection: A Reinforcement Learning Framework
Haoran Wang
X. Zhou
76
2
0
25 Apr 2019
Generative Exploration and Exploitation
Generative Exploration and Exploitation
Jiechuan Jiang
Zongqing Lu
39
6
0
21 Apr 2019
Compression and Localization in Reinforcement Learning for ATARI Games
Compression and Localization in Reinforcement Learning for ATARI Games
Joel Ruben Antony Moniz
Barun Patra
Sarthak Garg
AI4CE
49
2
0
20 Apr 2019
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