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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
Rethinking Teacher-Student Curriculum Learning through the Cooperative
  Mechanics of Experience
Rethinking Teacher-Student Curriculum Learning through the Cooperative Mechanics of Experience
Manfred Diaz
Liam Paull
Andrea Tacchetti
126
0
0
03 Apr 2024
SliceIt! -- A Dual Simulator Framework for Learning Robot Food Slicing
SliceIt! -- A Dual Simulator Framework for Learning Robot Food Slicing
C. C. Beltran-Hernandez
Nicolas Erbetti
Masashi Hamaya
76
5
0
03 Apr 2024
Enhancing Sum-Rate Performance in Constrained Multicell Networks: A
  Low-Information Exchange Approach
Enhancing Sum-Rate Performance in Constrained Multicell Networks: A Low-Information Exchange Approach
Youjin Kim
Jonggyu Jang
H. Yang
26
0
0
03 Apr 2024
Deep Reinforcement Learning in Autonomous Car Path Planning and Control:
  A Survey
Deep Reinforcement Learning in Autonomous Car Path Planning and Control: A Survey
Yiyang Chen
Chao Ji
Yunrui Cai
Tong Yan
Bo Su
81
11
0
30 Mar 2024
Nonparametric Bellman Mappings for Reinforcement Learning: Application
  to Robust Adaptive Filtering
Nonparametric Bellman Mappings for Reinforcement Learning: Application to Robust Adaptive Filtering
Yuki Akiyama
Minh Vu
Konstantinos Slavakis
67
3
0
29 Mar 2024
Task2Morph: Differentiable Task-inspired Framework for Contact-Aware
  Robot Design
Task2Morph: Differentiable Task-inspired Framework for Contact-Aware Robot Design
Yishuai Cai
Shaowu Yang
Minglong Li
Xinglin Chen
Yunxin Mao
Xiaodong Yi
Wenjing Yang
86
3
0
28 Mar 2024
Simple Ingredients for Offline Reinforcement Learning
Simple Ingredients for Offline Reinforcement Learning
Edoardo Cetin
Andrea Tirinzoni
Matteo Pirotta
A. Lazaric
Yann Ollivier
Ahmed Touati
OffRL
106
2
0
19 Mar 2024
Identifying Optimal Launch Sites of High-Altitude Latex-Balloons using
  Bayesian Optimisation for the Task of Station-Keeping
Identifying Optimal Launch Sites of High-Altitude Latex-Balloons using Bayesian Optimisation for the Task of Station-Keeping
Jack D. Saunders
Sajad Saeedi
Adam Hartshorne
Binbin Xu
Özgür Simsek
Alan Hunter
Wenbin Li
32
0
0
16 Mar 2024
SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning
SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning
Nicholas Zolman
Urban Fasel
J. Nathan Kutz
Steven L. Brunton
AI4CE
84
11
0
14 Mar 2024
An Improved Strategy for Blood Glucose Control Using Multi-Step Deep
  Reinforcement Learning
An Improved Strategy for Blood Glucose Control Using Multi-Step Deep Reinforcement Learning
Weiwei Gu
Senquan Wang
65
7
0
12 Mar 2024
Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding
Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding
Huijie Tang
Federico Berto
Jinkyoo Park
108
4
0
12 Mar 2024
Learning Speed Adaptation for Flight in Clutter
Learning Speed Adaptation for Flight in Clutter
Guangyu Zhao
Tianyue Wu
Yeke Chen
Fei Gao
93
7
0
07 Mar 2024
Bidirectional Progressive Neural Networks with Episodic Return Progress
  for Emergent Task Sequencing and Robotic Skill Transfer
Bidirectional Progressive Neural Networks with Episodic Return Progress for Emergent Task Sequencing and Robotic Skill Transfer
S. E. Ada
Hanne Say
Emre Ugur
Erhan Öztop
137
2
0
06 Mar 2024
A Survey on Applications of Reinforcement Learning in Spatial Resource
  Allocation
A Survey on Applications of Reinforcement Learning in Spatial Resource Allocation
Di Zhang
Moyang Wang
Joseph D Mango
Xiang Li
Xianrui Xu
109
1
0
06 Mar 2024
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
73
7
0
02 Mar 2024
Reward Design for Justifiable Sequential Decision-Making
Reward Design for Justifiable Sequential Decision-Making
A. Sukovic
Goran Radanović
52
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
38
5
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
50
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
84
2
0
16 Feb 2024
Revisiting Experience Replayable Conditions
Revisiting Experience Replayable Conditions
Taisuke Kobayashi
102
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
92
2
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
86
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
28
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
90
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
ReLMLRM
86
20
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
63
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
77
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
86
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
35
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
53
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
41
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
119
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
AI4ClAI4CE
84
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
74
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
115
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
73
1
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
74
5
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
79
3
0
18 Jan 2024
Blackout Mitigation via Physics-guided RL
Blackout Mitigation via Physics-guided RL
Anmol Dwivedi
Santiago Paternain
A. Tajer
53
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
76
8
0
17 Jan 2024
Memory, Space, and Planning: Multiscale Predictive Representations
Memory, Space, and Planning: Multiscale Predictive Representations
Ida Momennejad
61
3
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
136
20
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
71
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
50
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
90
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
72
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
19
5
0
22 Dec 2023
Multi-agent Reinforcement Learning: A Comprehensive Survey
Multi-agent Reinforcement Learning: A Comprehensive Survey
Dom Huh
Prasant Mohapatra
AI4CE
82
10
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
62
1
0
14 Dec 2023
Personalized Path Recourse for Reinforcement Learning Agents
Personalized Path Recourse for Reinforcement Learning Agents
Dat Hong
Tong Wang
53
0
0
14 Dec 2023
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