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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
Efficient Episodic Memory Utilization of Cooperative Multi-Agent
  Reinforcement Learning
Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning
Hyungho Na
Yunkyeong Seo
IL-Chul Moon
26
7
0
02 Mar 2024
Reward Design for Justifiable Sequential Decision-Making
Reward Design for Justifiable Sequential Decision-Making
A. Sukovic
Goran Radanović
32
0
0
24 Feb 2024
Combinatorial Client-Master Multiagent Deep Reinforcement Learning for
  Task Offloading in Mobile Edge Computing
Combinatorial Client-Master Multiagent Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing
Zemuy Tesfay Gebrekidan
Sebastian Stein
Timothy J. Norman
31
4
0
18 Feb 2024
Reinforcement learning to maximise wind turbine energy generation
Reinforcement learning to maximise wind turbine energy generation
Daniel Soler
O. Marino
D. Huergo
Martín de Frutos
Esteban Ferrer
26
0
0
17 Feb 2024
Policy Learning for Off-Dynamics RL with Deficient Support
Policy Learning for Off-Dynamics RL with Deficient Support
Linh Le Pham Van
Hung The Tran
Sunil R. Gupta
48
1
0
16 Feb 2024
Revisiting Experience Replayable Conditions
Revisiting Experience Replayable Conditions
Taisuke Kobayashi
42
3
0
15 Feb 2024
Symmetry-Breaking Augmentations for Ad Hoc Teamwork
Symmetry-Breaking Augmentations for Ad Hoc Teamwork
Ravi Hammond
Dustin Craggs
Mingyu Guo
Jakob Foerster
Ian Reid
34
1
0
15 Feb 2024
A Dynamical View of the Question of Why
A Dynamical View of the Question of Why
Mehdi Fatemi
Sindhu Gowda
CML
38
1
0
14 Feb 2024
LL-GABR: Energy Efficient Live Video Streaming Using Reinforcement
  Learning
LL-GABR: Energy Efficient Live Video Streaming Using Reinforcement Learning
Adithya Raman
B. Turkkan
T. Kosar
26
0
0
14 Feb 2024
Optimizing Delegation in Collaborative Human-AI Hybrid Teams
Optimizing Delegation in Collaborative Human-AI Hybrid Teams
Andrew Fuchs
A. Passarella
M. Conti
54
2
0
08 Feb 2024
CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay
CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay
Natasha Butt
Blazej Manczak
Auke Wiggers
Corrado Rainone
David W. Zhang
Michaël Defferrard
Taco S. Cohen
ReLM
LRM
51
18
0
07 Feb 2024
Learning Diverse Policies with Soft Self-Generated Guidance
Learning Diverse Policies with Soft Self-Generated Guidance
Guojian Wang
Faguo Wu
Xiao Zhang
Jianxiang Liu
OffRL
31
4
0
07 Feb 2024
Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent
  Deep Reinforcement Learning
Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning
Maxime Toquebiau
Nicolas Bredeche
F. Benamar
Jae-Yun Jun
36
1
0
06 Feb 2024
Reinforcement Learning from Bagged Reward
Reinforcement Learning from Bagged Reward
Yuting Tang
Xin-Qiang Cai
Yao-Xiang Ding
Qiyu Wu
Guoqing Liu
Masashi Sugiyama
OffRL
36
0
0
06 Feb 2024
Frugal Actor-Critic: Sample Efficient Off-Policy Deep Reinforcement
  Learning Using Unique Experiences
Frugal Actor-Critic: Sample Efficient Off-Policy Deep Reinforcement Learning Using Unique Experiences
Nikhil Kumar Singh
Indranil Saha
OffRL
27
0
0
05 Feb 2024
Training Adversarial yet Safe Agent to Characterize Safety Performance
  of Highly Automated Vehicles
Training Adversarial yet Safe Agent to Characterize Safety Performance of Highly Automated Vehicles
Minghao Zhu
Anmol Sidhu
Keith A. Redmill
36
0
0
02 Feb 2024
Brain-Like Replay Naturally Emerges in Reinforcement Learning Agents
Brain-Like Replay Naturally Emerges in Reinforcement Learning Agents
Jiyi Wang
Likai Tang
Huimiao Chen
Sen Song
11
0
0
02 Feb 2024
Continuous Unsupervised Domain Adaptation Using Stabilized
  Representations and Experience Replay
Continuous Unsupervised Domain Adaptation Using Stabilized Representations and Experience Replay
Mohammad Rostami
CLL
38
2
0
31 Jan 2024
Improving Global Weather and Ocean Wave Forecast with Large Artificial
  Intelligence Models
Improving Global Weather and Ocean Wave Forecast with Large Artificial Intelligence Models
Fenghua Ling
Ouyang Lin
Boufeniza Redouane Larbi
Jing-Jia Luo
Tao Han
Xiaohui Zhong
Lei Bai
AI4Cl
AI4CE
17
2
0
30 Jan 2024
Dynamic Transformer Architecture for Continual Learning of Multimodal
  Tasks
Dynamic Transformer Architecture for Continual Learning of Multimodal Tasks
Yuliang Cai
Mohammad Rostami
35
4
0
27 Jan 2024
Asynchronous Parallel Reinforcement Learning for Optimizing Propulsive
  Performance in Fin Ray Control
Asynchronous Parallel Reinforcement Learning for Optimizing Propulsive Performance in Fin Ray Control
Xin-Yang Liu
Dariush Bodaghi
Q. Xue
Xudong Zheng
Jian-Xun Wang
35
0
0
21 Jan 2024
Episodic Reinforcement Learning with Expanded State-reward Space
Episodic Reinforcement Learning with Expanded State-reward Space
Dayang Liang
Yaru Zhang
Yunlong Liu
OffRL
34
0
0
19 Jan 2024
FREED++: Improving RL Agents for Fragment-Based Molecule Generation by
  Thorough Reproduction
FREED++: Improving RL Agents for Fragment-Based Molecule Generation by Thorough Reproduction
Alexander Telepov
Artem Tsypin
Kuzma Khrabrov
Sergey Yakukhnov
Pavel Strashnov
...
Egor Rumiantsev
Daniel Ezhov
Manvel Avetisian
Olga Popova
Artur Kadurin
32
4
0
18 Jan 2024
Robotic Test Tube Rearrangement Using Combined Reinforcement Learning
  and Motion Planning
Robotic Test Tube Rearrangement Using Combined Reinforcement Learning and Motion Planning
Hao Chen
Weiwei Wan
Masaki Matsushita
Takeyuki Kotaka
Kensuke Harada
35
1
0
18 Jan 2024
Blackout Mitigation via Physics-guided RL
Blackout Mitigation via Physics-guided RL
Anmol Dwivedi
Santiago Paternain
A. Tajer
21
3
0
17 Jan 2024
Towards Off-Policy Reinforcement Learning for Ranking Policies with
  Human Feedback
Towards Off-Policy Reinforcement Learning for Ranking Policies with Human Feedback
Teng Xiao
Suhang Wang
OffRL
41
8
0
17 Jan 2024
Memory, Space, and Planning: Multiscale Predictive Representations
Memory, Space, and Planning: Multiscale Predictive Representations
Ida Momennejad
40
2
0
16 Jan 2024
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents
Quentin Delfosse
Sebastian Sztwiertnia
M. Rothermel
Wolfgang Stammer
Kristian Kersting
60
18
0
11 Jan 2024
Unsupervised Salient Patch Selection for Data-Efficient Reinforcement
  Learning
Unsupervised Salient Patch Selection for Data-Efficient Reinforcement Learning
Zhaohui Jiang
Paul Weng
OffRL
27
0
0
10 Jan 2024
Learn Once Plan Arbitrarily (LOPA): Attention-Enhanced Deep
  Reinforcement Learning Method for Global Path Planning
Learn Once Plan Arbitrarily (LOPA): Attention-Enhanced Deep Reinforcement Learning Method for Global Path Planning
Guo-Yong Huang
Mingxin Hou
X. Yuan
Shuqiao Huang
Yaonan Wang
21
1
0
08 Jan 2024
Can Active Sampling Reduce Causal Confusion in Offline Reinforcement
  Learning?
Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning?
Gunshi Gupta
Tim G. J. Rudner
R. McAllister
Adrien Gaidon
Y. Gal
OffRL
56
3
0
28 Dec 2023
Human-AI Collaboration in Real-World Complex Environment with
  Reinforcement Learning
Human-AI Collaboration in Real-World Complex Environment with Reinforcement Learning
Md Saiful Islam
Srijita Das
S. Gottipati
William Duguay
Clodéric Mars
Jalal Arabneydi
Antoine Fagette
Matthew J. Guzdial
Matthew E. Taylor
41
1
0
23 Dec 2023
Machine learning for structure-guided materials and process design
Machine learning for structure-guided materials and process design
L. Morand
Tarek Iraki
Johannes Dornheim
Stefan Sandfeld
Norbert Link
Dirk Helm
AI4CE
11
4
0
22 Dec 2023
Multi-agent Reinforcement Learning: A Comprehensive Survey
Multi-agent Reinforcement Learning: A Comprehensive Survey
Dom Huh
Prasant Mohapatra
AI4CE
36
8
0
15 Dec 2023
HiER: Highlight Experience Replay for Boosting Off-Policy Reinforcement
  Learning Agents
HiER: Highlight Experience Replay for Boosting Off-Policy Reinforcement Learning Agents
Dániel Horváth
Jesús Bujalance Martín
Ferenc Gàbor Erdos
Z. Istenes
Fabien Moutarde
OffRL
28
1
0
14 Dec 2023
Personalized Path Recourse for Reinforcement Learning Agents
Personalized Path Recourse for Reinforcement Learning Agents
Dat Hong
Tong Wang
20
0
0
14 Dec 2023
Machine Learning for the Multi-Dimensional Bin Packing Problem:
  Literature Review and Empirical Evaluation
Machine Learning for the Multi-Dimensional Bin Packing Problem: Literature Review and Empirical Evaluation
Wenjie Wu
Changjun Fan
Jin-Yu Huang
Zhong Liu
Junchi Yan
38
0
0
13 Dec 2023
An Invitation to Deep Reinforcement Learning
An Invitation to Deep Reinforcement Learning
Bernhard Jaeger
Andreas Geiger
OffRL
OOD
80
5
0
13 Dec 2023
Bad Students Make Great Teachers: Active Learning Accelerates
  Large-Scale Visual Understanding
Bad Students Make Great Teachers: Active Learning Accelerates Large-Scale Visual Understanding
Talfan Evans
Shreya Pathak
Hamza Merzic
Jonathan Schwarz
Ryutaro Tanno
Olivier J. Hénaff
26
16
0
08 Dec 2023
Hierarchical Visual Policy Learning for Long-Horizon Robot Manipulation
  in Densely Cluttered Scenes
Hierarchical Visual Policy Learning for Long-Horizon Robot Manipulation in Densely Cluttered Scenes
Hecheng Wang
Lizhe Qi
Bin Fang
Yunquan Sun
34
3
0
05 Dec 2023
Contact Energy Based Hindsight Experience Prioritization
Contact Energy Based Hindsight Experience Prioritization
Erdi Sayar
Zhenshan Bing
Carlo DÉramo
Ozgur S. Oguz
Alois Knoll
29
3
0
05 Dec 2023
A Self-Commissioning Edge Computing Method for Data-Driven Anomaly
  Detection in Power Electronic Systems
A Self-Commissioning Edge Computing Method for Data-Driven Anomaly Detection in Power Electronic Systems
P. Gómez
Miguel E. López Gajardo
N. Mijatovic
Tomislav Dragičević
17
3
0
05 Dec 2023
AdsorbRL: Deep Multi-Objective Reinforcement Learning for Inverse
  Catalysts Design
AdsorbRL: Deep Multi-Objective Reinforcement Learning for Inverse Catalysts Design
Romain Lacombe
Lucas Hendren
Khalid El-Awady
26
1
0
04 Dec 2023
Towards Goal-oriented Intelligent Tutoring Systems in Online Education
Towards Goal-oriented Intelligent Tutoring Systems in Online Education
Yang Deng
Zifeng Ren
An Zhang
Wenqiang Lei
Tat-Seng Chua
31
7
0
03 Dec 2023
Bias Resilient Multi-Step Off-Policy Goal-Conditioned Reinforcement
  Learning
Bias Resilient Multi-Step Off-Policy Goal-Conditioned Reinforcement Learning
Lisheng Wu
Ke Chen
18
0
0
29 Nov 2023
Stable Online and Offline Reinforcement Learning for Antibody CDRH3
  Design
Stable Online and Offline Reinforcement Learning for Antibody CDRH3 Design
Yannick Vogt
Mehdi Naouar
M. Kalweit
Christoph Cornelius Miething
Justus Duyster
Roland Mertelsmann
Gabriel Kalweit
Joschka Boedecker
OffRL
OnRL
35
0
0
29 Nov 2023
Optimization Theory Based Deep Reinforcement Learning for Resource
  Allocation in Ultra-Reliable Wireless Networked Control Systems
Optimization Theory Based Deep Reinforcement Learning for Resource Allocation in Ultra-Reliable Wireless Networked Control Systems
Hamida Qumber Ali
Amirhassan Babazadeh Darabi
Sinem Coleri
27
8
0
28 Nov 2023
Directly Attention Loss Adjusted Prioritized Experience Replay
Directly Attention Loss Adjusted Prioritized Experience Replay
Zhuoying Chen
Huiping Li
Zhaoxu Wang
31
1
0
24 Nov 2023
From Images to Connections: Can DQN with GNNs learn the Strategic Game
  of Hex?
From Images to Connections: Can DQN with GNNs learn the Strategic Game of Hex?
Yannik Keller
Jannis Blüml
Gopika Sudhakaran
Kristian Kersting
GNN
37
0
0
22 Nov 2023
Probabilistic Inference in Reinforcement Learning Done Right
Probabilistic Inference in Reinforcement Learning Done Right
Jean Tarbouriech
Tor Lattimore
Brendan O'Donoghue
BDL
OffRL
30
4
0
22 Nov 2023
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