ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1511.05952
  4. Cited By
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
Accelerating Distributed Deep Reinforcement Learning by In-Network
  Experience Sampling
Accelerating Distributed Deep Reinforcement Learning by In-Network Experience Sampling
Masaki Furukawa
Hiroki Matsutani
OffRL
31
1
0
26 Oct 2021
A Reinforcement Learning Approach to Parameter Selection for Distributed
  Optimal Power Flow
A Reinforcement Learning Approach to Parameter Selection for Distributed Optimal Power Flow
Tai-Yin Chiu
Alyssa Kody
Youngdae Kim
Kibaek Kim
Daniel K. Molzahn
52
21
0
22 Oct 2021
ReLAX: Reinforcement Learning Agent eXplainer for Arbitrary Predictive
  Models
ReLAX: Reinforcement Learning Agent eXplainer for Arbitrary Predictive Models
Kiran Purohit
Soumili Das
Jia Wang
He Zhu
Santu Rana
Gabriele Tolomei
CMLOffRL
97
38
0
22 Oct 2021
Continuous Control with Action Quantization from Demonstrations
Continuous Control with Action Quantization from Demonstrations
Robert Dadashi
Léonard Hussenot
Damien Vincent
Sertan Girgin
Anton Raichuk
Matthieu Geist
Olivier Pietquin
OffRL
107
23
0
19 Oct 2021
Reinforcement Learning-Based Coverage Path Planning with Implicit
  Cellular Decomposition
Reinforcement Learning-Based Coverage Path Planning with Implicit Cellular Decomposition
Javad Heydari
Olimpiya Saha
Viswanath Ganapathy
OffRL
37
16
0
18 Oct 2021
Variance Reduction based Experience Replay for Policy Optimization
Variance Reduction based Experience Replay for Policy Optimization
Hua Zheng
Wei Xie
M. Feng
OffRL
93
2
0
17 Oct 2021
Improving the sample-efficiency of neural architecture search with
  reinforcement learning
Improving the sample-efficiency of neural architecture search with reinforcement learning
A. Nagy
Ábel Boros
118
3
0
13 Oct 2021
REIN-2: Giving Birth to Prepared Reinforcement Learning Agents Using
  Reinforcement Learning Agents
REIN-2: Giving Birth to Prepared Reinforcement Learning Agents Using Reinforcement Learning Agents
A. Lazaridis
I. Vlahavas
OffRL
62
2
0
11 Oct 2021
A Closer Look at Advantage-Filtered Behavioral Cloning in High-Noise
  Datasets
A Closer Look at Advantage-Filtered Behavioral Cloning in High-Noise Datasets
J. E. Grigsby
Yanjun Qi
OffRL
96
5
0
10 Oct 2021
Cognitively Inspired Learning of Incremental Drifting Concepts
Cognitively Inspired Learning of Incremental Drifting Concepts
Mohammad Rostami
Aram Galstyan
CLL
69
16
0
09 Oct 2021
Explaining Deep Reinforcement Learning Agents In The Atari Domain
  through a Surrogate Model
Explaining Deep Reinforcement Learning Agents In The Atari Domain through a Surrogate Model
Alexander Sieusahai
Matthew J. Guzdial
76
13
0
07 Oct 2021
Explaining Off-Policy Actor-Critic From A Bias-Variance Perspective
Explaining Off-Policy Actor-Critic From A Bias-Variance Perspective
Ting-Han Fan
Peter J. Ramadge
CMLFAttOffRL
68
2
0
06 Oct 2021
Deep reinforcement learning for guidewire navigation in coronary artery
  phantom
Deep reinforcement learning for guidewire navigation in coronary artery phantom
Jihoon Kweon
Kyunghwan Kim
Chaehyuk Lee
Hwi Kwon
Jinwoo Park
...
Inwook Back
J. Roh
Y. Moon
Jaesoon Choi
Young-Hak Kim
OnRL
68
34
0
05 Oct 2021
Large Batch Experience Replay
Large Batch Experience Replay
Thibault Lahire
Matthieu Geist
Emmanuel Rachelson
OffRL
102
13
0
04 Oct 2021
Learning Online Visual Invariances for Novel Objects via Supervised and
  Self-Supervised Training
Learning Online Visual Invariances for Novel Objects via Supervised and Self-Supervised Training
Valerio Biscione
J. Bowers
100
12
0
04 Oct 2021
Hit and Lead Discovery with Explorative RL and Fragment-based Molecule
  Generation
Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation
Soojung Yang
Doyeong Hwang
Seul Lee
Seongok Ryu
Sung Ju Hwang
136
73
0
04 Oct 2021
Parallel Actors and Learners: A Framework for Generating Scalable RL
  Implementations
Parallel Actors and Learners: A Framework for Generating Scalable RL Implementations
Chi Zhang
S. Kuppannagari
Viktor Prasanna
OffRL
36
8
0
03 Oct 2021
Meta-Reinforcement Learning via Buffering Graph Signatures for Live
  Video Streaming Events
Meta-Reinforcement Learning via Buffering Graph Signatures for Live Video Streaming Events
Stefanos Antaris
Dimitrios Rafailidis
Sarunas Girdzijauskas
OffRL
119
0
0
03 Oct 2021
Sim and Real: Better Together
Sim and Real: Better Together
Shirli Di-Castro Shashua
Dotan DiCastro
Shie Mannor
133
11
0
01 Oct 2021
Scalable Online Planning via Reinforcement Learning Fine-Tuning
Scalable Online Planning via Reinforcement Learning Fine-Tuning
Arnaud Fickinger
Hengyuan Hu
Brandon Amos
Stuart J. Russell
Noam Brown
97
21
0
30 Sep 2021
Coordinated Reinforcement Learning for Optimizing Mobile Networks
Coordinated Reinforcement Learning for Optimizing Mobile Networks
Maxime Bouton
Hasan Farooq
Julien Forgeat
Shruti Bothe
Meral Shirazipour
P. Karlsson
73
12
0
30 Sep 2021
Dr Jekyll and Mr Hyde: the Strange Case of Off-Policy Policy Updates
Dr Jekyll and Mr Hyde: the Strange Case of Off-Policy Policy Updates
Romain Laroche
Rémi Tachet des Combes
94
8
0
29 Sep 2021
Explanation-Aware Experience Replay in Rule-Dense Environments
Explanation-Aware Experience Replay in Rule-Dense Environments
Francesco Sovrano
Alex Raymond
Amanda Prorok
49
8
0
29 Sep 2021
BulletTrain: Accelerating Robust Neural Network Training via Boundary
  Example Mining
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining
Weizhe Hua
Yichi Zhang
Chuan Guo
Zhiru Zhang
G. E. Suh
OOD
109
16
0
29 Sep 2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning
  Research
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
Mikayel Samvelyan
Robert Kirk
Vitaly Kurin
Jack Parker-Holder
Minqi Jiang
Eric Hambro
Fabio Petroni
Heinrich Küttler
Edward Grefenstette
Tim Rocktaschel
OffRL
319
91
0
27 Sep 2021
Prioritized Experience-based Reinforcement Learning with Human Guidance
  for Autonomous Driving
Prioritized Experience-based Reinforcement Learning with Human Guidance for Autonomous Driving
Jingda Wu
Zhiyu Huang
Wenhui Huang
Chen Lv
105
77
0
26 Sep 2021
Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples with
  On-Policy Experience
Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples with On-Policy Experience
C. Banerjee
Zhiyong Chen
N. Noman
63
34
0
24 Sep 2021
On Bonus-Based Exploration Methods in the Arcade Learning Environment
On Bonus-Based Exploration Methods in the Arcade Learning Environment
Adrien Ali Taïga
W. Fedus
Marlos C. Machado
Aaron Courville
Marc G. Bellemare
59
61
0
22 Sep 2021
Learning offline: memory replay in biological and artificial
  reinforcement learning
Learning offline: memory replay in biological and artificial reinforcement learning
Emma Roscow
Raymond Chua
Rui Ponte Costa
Matt W. Jones
Nathan Lepora
CLLOffRL
41
26
0
21 Sep 2021
Generalization in Text-based Games via Hierarchical Reinforcement
  Learning
Generalization in Text-based Games via Hierarchical Reinforcement Learning
Yunqiu Xu
Meng Fang
Ling Chen
Yali Du
Chengqi Zhang
AI4CE
85
21
0
21 Sep 2021
RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for
  Efficient Deep-Reinforcement Learning
RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning
Adarsh Kosta
Malik Aqeel Anwar
Priyadarshini Panda
A. Raychowdhury
Kaushik Roy
30
4
0
16 Sep 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to
  Multiagent Domain
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain
Jianye Hao
Tianpei Yang
Hongyao Tang
Chenjia Bai
Jinyi Liu
Zhaopeng Meng
Peng Liu
Zhen Wang
OffRL
86
103
0
14 Sep 2021
Incentivizing an Unknown Crowd
Incentivizing an Unknown Crowd
Jing Dong
Shuai Li
Baoxiang Wang
OffRL
35
0
0
09 Sep 2021
A Survey of Deep Reinforcement Learning in Recommender Systems: A
  Systematic Review and Future Directions
A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions
Xiaocong Chen
L. Yao
Julian McAuley
Guanglin Zhou
Xianzhi Wang
AI4TS
79
62
0
08 Sep 2021
Temporal Shift Reinforcement Learning
Temporal Shift Reinforcement Learning
Deep Thomas
Tichakorn Wongpiromsarn
Ali Jannesari
OffRL
55
0
0
05 Sep 2021
Event-Based Communication in Distributed Q-Learning
Event-Based Communication in Distributed Q-Learning
Daniel Jarne Ornia
M. Mazo
65
2
0
03 Sep 2021
Combining Transformers with Natural Language Explanations
Combining Transformers with Natural Language Explanations
Federico Ruggeri
Marco Lippi
Paolo Torroni
100
1
0
02 Sep 2021
Catastrophic Interference in Reinforcement Learning: A Solution Based on
  Context Division and Knowledge Distillation
Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation
Tiantian Zhang
Xueqian Wang
Bin Liang
Bo Yuan
OffRL
80
18
0
01 Sep 2021
Phy-Q as a measure for physical reasoning intelligence
Phy-Q as a measure for physical reasoning intelligence
Cheng Xue
Vimukthini Pinto
C. Gamage
Ekaterina Nikonova
Peng Zhang
Jochen Renz
LRM
77
12
0
31 Aug 2021
A review of mobile robot motion planning methods: from classical motion
  planning workflows to reinforcement learning-based architectures
A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures
Changyin Sun
Zicheng He
Chunwei Song
Changyin Sun
108
59
0
31 Aug 2021
Detection and Continual Learning of Novel Face Presentation Attacks
Detection and Continual Learning of Novel Face Presentation Attacks
Mohammad Rostami
L. Spinoulas
Mohamed E. Hussein
Joe Mathai
Wael AbdAlmageed
CLLAAML
73
34
0
27 Aug 2021
Federated Reinforcement Learning: Techniques, Applications, and Open
  Challenges
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges
Jiaju Qi
Qihao Zhou
Lei Lei
Kan Zheng
FedML
113
161
0
26 Aug 2021
When should agents explore?
When should agents explore?
Miruna Pislar
David Szepesvari
Georg Ostrovski
Diana Borsa
Tom Schaul
93
22
0
26 Aug 2021
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework
  and Survey
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey
Richard Dazeley
Peter Vamplew
Francisco Cruz
72
65
0
20 Aug 2021
Diversity-based Trajectory and Goal Selection with Hindsight Experience
  Replay
Diversity-based Trajectory and Goal Selection with Hindsight Experience Replay
Tianhong Dai
Hengyan Liu
Kai Arulkumaran
Guangyu Ren
Anil Anthony Bharath
72
11
0
17 Aug 2021
TDM: Trustworthy Decision-Making via Interpretability Enhancement
TDM: Trustworthy Decision-Making via Interpretability Enhancement
Daoming Lyu
Fangkai Yang
Hugh Kwon
Wen Dong
L. Yilmaz
Bo Liu
25
12
0
13 Aug 2021
Reinforcement Learning Approach to Active Learning for Image
  Classification
Reinforcement Learning Approach to Active Learning for Image Classification
Thorben Werner
18
1
0
12 Aug 2021
DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep
  Q-Learning and Graph Attention Networks
DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention Networks
Peide Cai
Hengli Wang
Yuxiang Sun
Ming-Yuan Liu
GNN
97
39
0
11 Aug 2021
A Survey on Deep Reinforcement Learning for Data Processing and
  Analytics
A Survey on Deep Reinforcement Learning for Data Processing and Analytics
Qingpeng Cai
Can Cui
Yiyuan Xiong
Wei Wang
Zhongle Xie
Meihui Zhang
OffRL
67
32
0
10 Aug 2021
Ensemble Consensus-based Representation Deep Reinforcement Learning for
  Hybrid FSO/RF Communication Systems
Ensemble Consensus-based Representation Deep Reinforcement Learning for Hybrid FSO/RF Communication Systems
Shagufta Henna
32
6
0
05 Aug 2021
Previous
123...121314...282930
Next