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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
History Repeats: Overcoming Catastrophic Forgetting For Event-Centric
  Temporal Knowledge Graph Completion
History Repeats: Overcoming Catastrophic Forgetting For Event-Centric Temporal Knowledge Graph Completion
Mehrnoosh Mirtaheri
Mohammad Rostami
Aram Galstyan
CLL
98
6
0
30 May 2023
Provable and Practical: Efficient Exploration in Reinforcement Learning
  via Langevin Monte Carlo
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo
Haque Ishfaq
Qingfeng Lan
Pan Xu
A. R. Mahmood
Doina Precup
Anima Anandkumar
Kamyar Azizzadenesheli
BDLOffRL
114
23
0
29 May 2023
Towards a Better Understanding of Representation Dynamics under
  TD-learning
Towards a Better Understanding of Representation Dynamics under TD-learning
Yunhao Tang
Rémi Munos
OffRL
67
2
0
29 May 2023
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control
  via Sample Multiple Reuse
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse
Jiafei Lyu
Le Wan
Zongqing Lu
Xiu Li
OffRL
66
9
0
29 May 2023
Regularization and Variance-Weighted Regression Achieves Minimax
  Optimality in Linear MDPs: Theory and Practice
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice
Toshinori Kitamura
Tadashi Kozuno
Yunhao Tang
Nino Vieillard
Michal Valko
...
Olivier Pietquin
Matthieu Geist
Csaba Szepesvári
Wataru Kumagai
Yutaka Matsuo
OffRL
90
3
0
22 May 2023
Adaptive action supervision in reinforcement learning from real-world
  multi-agent demonstrations
Adaptive action supervision in reinforcement learning from real-world multi-agent demonstrations
Keisuke Fujii
Kazushi Tsutsui
Atom Scott
Hiroshi Nakahara
Naoya Takeishi
Yoshinobu Kawahara
92
6
0
22 May 2023
Testing of Deep Reinforcement Learning Agents with Surrogate Models
Testing of Deep Reinforcement Learning Agents with Surrogate Models
Matteo Biagiola
Paolo Tonella
97
21
0
22 May 2023
Towards Optimal Energy Management Strategy for Hybrid Electric Vehicle
  with Reinforcement Learning
Towards Optimal Energy Management Strategy for Hybrid Electric Vehicle with Reinforcement Learning
Xinyang Wu
Elisabeth Wedernikow
C. Nitsche
Marco F. Huber
69
2
0
21 May 2023
Assessing the Impact of Context Inference Error and Partial
  Observability on RL Methods for Just-In-Time Adaptive Interventions
Assessing the Impact of Context Inference Error and Partial Observability on RL Methods for Just-In-Time Adaptive Interventions
Karine Karine
P. Klasnja
Susan A. Murphy
Benjamin M. Marlin
OffRL
53
2
0
17 May 2023
Identify, Estimate and Bound the Uncertainty of Reinforcement Learning
  for Autonomous Driving
Identify, Estimate and Bound the Uncertainty of Reinforcement Learning for Autonomous Driving
Weitao Zhou
Zhong Cao
Nanshan Deng
Kun Jiang
Diange Yang
OffRL
60
15
0
12 May 2023
Towards Understanding and Improving GFlowNet Training
Towards Understanding and Improving GFlowNet Training
Max W. Shen
Emmanuel Bengio
Ehsan Hajiramezanali
Andreas Loukas
Kyunghyun Cho
Tommaso Biancalani
63
57
0
11 May 2023
Extracting Diagnosis Pathways from Electronic Health Records Using Deep
  Reinforcement Learning
Extracting Diagnosis Pathways from Electronic Health Records Using Deep Reinforcement Learning
Lillian Muyama
A. Neuraz
Adrien Coulet
50
0
0
10 May 2023
Supplementing Gradient-Based Reinforcement Learning with Simple
  Evolutionary Ideas
Supplementing Gradient-Based Reinforcement Learning with Simple Evolutionary Ideas
H. Khadilkar
55
0
0
10 May 2023
Train a Real-world Local Path Planner in One Hour via Partially
  Decoupled Reinforcement Learning and Vectorized Diversity
Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity
Jinghao Xin
Jinwoo Kim
Hui Yuan
Ning Li
OffRL
79
3
0
07 May 2023
A Minimal Approach for Natural Language Action Space in Text-based Games
A Minimal Approach for Natural Language Action Space in Text-based Games
Dongwon Kelvin Ryu
Meng Fang
Shirui Pan
Gholamreza Haffari
Ehsan Shareghi
LLMAG
79
2
0
06 May 2023
An Asynchronous Updating Reinforcement Learning Framework for
  Task-oriented Dialog System
An Asynchronous Updating Reinforcement Learning Framework for Task-oriented Dialog System
Bengisu Cagiltay
Bilge Mutlu
Xiaojie Wang
Caixia Yuan
OffRL
33
0
0
04 May 2023
Map-based Experience Replay: A Memory-Efficient Solution to Catastrophic
  Forgetting in Reinforcement Learning
Map-based Experience Replay: A Memory-Efficient Solution to Catastrophic Forgetting in Reinforcement Learning
Muhammad Burhan Hafez
Tilman Immisch
Tom Weber
S. Wermter
CLL
99
6
0
03 May 2023
Unlocking the Power of Representations in Long-term Novelty-based
  Exploration
Unlocking the Power of Representations in Long-term Novelty-based Exploration
Alaa Saade
Steven Kapturowski
Daniele Calandriello
Charles Blundell
Pablo Sprechmann
Leopoldo Sarra
Oliver Groth
Michal Valko
Bilal Piot
OffRL
128
6
0
02 May 2023
Posterior Sampling for Deep Reinforcement Learning
Posterior Sampling for Deep Reinforcement Learning
Remo Sasso
Michelangelo Conserva
Paulo E. Rauber
OffRLBDL
62
7
0
30 Apr 2023
When to Replan? An Adaptive Replanning Strategy for Autonomous
  Navigation using Deep Reinforcement Learning
When to Replan? An Adaptive Replanning Strategy for Autonomous Navigation using Deep Reinforcement Learning
Kohei Honda
Ryo Yonetani
Mai Nishimura
Tadashi Kozuno
134
4
0
24 Apr 2023
On the Importance of Exploration for Real Life Learned Algorithms
On the Importance of Exploration for Real Life Learned Algorithms
Steffen Gracla
C. Bockelmann
Armin Dekorsy
85
0
0
21 Apr 2023
Two-Memory Reinforcement Learning
Two-Memory Reinforcement Learning
Zhao Yang
Thomas M. Moerland
Mike Preuss
Aske Plaat
OffRL
53
3
0
20 Apr 2023
Autonomous Agent for Beyond Visual Range Air Combat: A Deep
  Reinforcement Learning Approach
Autonomous Agent for Beyond Visual Range Air Combat: A Deep Reinforcement Learning Approach
Joao P. A. Dantas
Marcos R. O. A. Máximo
Takashi Yoneyama
34
4
0
19 Apr 2023
Quantum deep Q learning with distributed prioritized experience replay
Quantum deep Q learning with distributed prioritized experience replay
Samuel Yen-Chi Chen
BDL
80
8
0
19 Apr 2023
CASOG: Conservative Actor-critic with SmOoth Gradient for Skill Learning
  in Robot-Assisted Intervention
CASOG: Conservative Actor-critic with SmOoth Gradient for Skill Learning in Robot-Assisted Intervention
Hao Li
Xiao-Hu Zhou
Xiaoliang Xie
Shiqi Liu
Zhen-Qiu Feng
Z. Hou
OffRL
55
11
0
19 Apr 2023
Progressive Transfer Learning for Dexterous In-Hand Manipulation with
  Multi-Fingered Anthropomorphic Hand
Progressive Transfer Learning for Dexterous In-Hand Manipulation with Multi-Fingered Anthropomorphic Hand
Yongkang Luo
Wanyi Li
Peng Wang
Haonan Duan
Wei Wei
Jia sun
72
3
0
19 Apr 2023
Model Predictive Control with Self-supervised Representation Learning
Model Predictive Control with Self-supervised Representation Learning
Jonas A. Matthies
Muhammad Burhan Hafez
Mostafa Kotb
S. Wermter
SSL
25
0
0
14 Apr 2023
FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond
  10 Days Lead
FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead
Kan Chen
Tao Han
Junchao Gong
Lei Bai
Fenghua Ling
...
Rui Su
Yuanzheng Ci
Bin Li
Xiaokang Yang
Wanli Ouyang
AI4ClAI4CE
210
194
0
06 Apr 2023
Online Distillation with Continual Learning for Cyclic Domain Shifts
Online Distillation with Continual Learning for Cyclic Domain Shifts
Joachim Houyon
A. Cioppa
Yasir Ghunaim
Motasem Alfarra
Anaïs Halin
Maxim Henry
Guohao Li
Marc Van Droogenbroeck
CLL
60
8
0
03 Apr 2023
Swarm Reinforcement Learning For Adaptive Mesh Refinement
Swarm Reinforcement Learning For Adaptive Mesh Refinement
Niklas Freymuth
Philipp Dahlinger
Tobias Würth
Simon Reisch
Luise Kärger
Gerhard Neumann
120
15
0
03 Apr 2023
Utilizing Reinforcement Learning for de novo Drug Design
Utilizing Reinforcement Learning for de novo Drug Design
Hampus Gummesson Svensson
C. Tyrchan
Ola Engkvist
M. Chehreghani
92
20
0
30 Mar 2023
Importance Sampling for Stochastic Gradient Descent in Deep Neural
  Networks
Importance Sampling for Stochastic Gradient Descent in Deep Neural Networks
Thibault Lahire
36
2
0
29 Mar 2023
A Survey of Historical Learning: Learning Models with Learning History
A Survey of Historical Learning: Learning Models with Learning History
Xiang Li
Ge Wu
Lingfeng Yang
Wenzhe Wang
Renjie Song
Jian Yang
MUAI4TS
103
2
0
23 Mar 2023
Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image
  Segmentation with Multi-agent Reinforcement Learning
Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement Learning
Chaofan Ma
Qisen Xu
Xiangfeng Wang
Bo Jin
Xiaoyun Zhang
Yanfeng Wang
Ya Zhang
87
22
0
19 Mar 2023
Replay Buffer with Local Forgetting for Adapting to Local Environment
  Changes in Deep Model-Based Reinforcement Learning
Replay Buffer with Local Forgetting for Adapting to Local Environment Changes in Deep Model-Based Reinforcement Learning
Ali Rahimi-Kalahroudi
Janarthanan Rajendran
Ida Momennejad
H. V. Seijen
Sarath Chandar
CLLKELM
76
2
0
15 Mar 2023
Loss of Plasticity in Continual Deep Reinforcement Learning
Loss of Plasticity in Continual Deep Reinforcement Learning
Zaheer Abbas
Rosie Zhao
Joseph Modayil
Adam White
Marlos C. Machado
CLLOffRL
120
86
0
13 Mar 2023
Behavioral Differences is the Key of Ad-hoc Team Cooperation in
  Multiplayer Games Hanabi
Behavioral Differences is the Key of Ad-hoc Team Cooperation in Multiplayer Games Hanabi
Hyeonchang Jeon
Kyung-Joong Kim
27
0
0
12 Mar 2023
Exploiting Contextual Structure to Generate Useful Auxiliary Tasks
Exploiting Contextual Structure to Generate Useful Auxiliary Tasks
Benedict Quartey
Ankit Shah
George Konidaris
76
4
0
09 Mar 2023
Ensemble Reinforcement Learning: A Survey
Ensemble Reinforcement Learning: A Survey
Yanjie Song
Ponnuthurai Nagaratnam Suganthan
Witold Pedrycz
Junwei Ou
Yongming He
Y. Chen
Yutong Wu
OffRL
91
41
0
05 Mar 2023
Local Path Planning among Pushable Objects based on Reinforcement
  Learning
Local Path Planning among Pushable Objects based on Reinforcement Learning
Linghong Yao
Valerio Modugno
Andromachi Maria Delfaki
Yuanchang Liu
Danail Stoyanov
Dimitrios Kanoulas
80
3
0
04 Mar 2023
Demonstration-guided Deep Reinforcement Learning for Coordinated Ramp
  Metering and Perimeter Control in Large Scale Networks
Demonstration-guided Deep Reinforcement Learning for Coordinated Ramp Metering and Perimeter Control in Large Scale Networks
Zijian Hu
Wei-Ying Ma
39
5
0
04 Mar 2023
Hindsight States: Blending Sim and Real Task Elements for Efficient
  Reinforcement Learning
Hindsight States: Blending Sim and Real Task Elements for Efficient Reinforcement Learning
Simon Guist
Jan Schneider-Barnes
Alexander Dittrich
V. Berenz
Bernhard Schölkopf
Le Chen
98
3
0
03 Mar 2023
Expert-Free Online Transfer Learning in Multi-Agent Reinforcement
  Learning
Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning
A. Castagna
Ivana Dusparic
OffRL
95
2
0
02 Mar 2023
Exposure-Based Multi-Agent Inspection of a Tumbling Target Using Deep
  Reinforcement Learning
Exposure-Based Multi-Agent Inspection of a Tumbling Target Using Deep Reinforcement Learning
Joshua Aurand
Steven Cutlip
Henry Lei
Kendra A. Lang
S. Phillips
36
6
0
27 Feb 2023
Selective experience replay compression using coresets for lifelong deep
  reinforcement learning in medical imaging
Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imaging
Guangyao Zheng
Samson Zhou
Vladimir Braverman
M. Jacobs
V. Parekh
OffRLCLL
138
5
0
22 Feb 2023
Curiosity-driven Exploration in Sparse-reward Multi-agent Reinforcement
  Learning
Curiosity-driven Exploration in Sparse-reward Multi-agent Reinforcement Learning
Jiong Li
Pratik Gajane
113
5
0
21 Feb 2023
MAC-PO: Multi-Agent Experience Replay via Collective Priority
  Optimization
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization
Yongsheng Mei
Hanhan Zhou
Tian-Shing Lan
Guru Venkataramani
Peng Wei
139
40
0
21 Feb 2023
Understanding the effect of varying amounts of replay per step
Understanding the effect of varying amounts of replay per step
A. Paul
Videh Raj Nema
55
0
0
20 Feb 2023
Efficient Exploration via Epistemic-Risk-Seeking Policy Optimization
Efficient Exploration via Epistemic-Risk-Seeking Policy Optimization
Brendan O'Donoghue
OffRL
104
7
0
18 Feb 2023
Robot path planning using deep reinforcement learning
Robot path planning using deep reinforcement learning
Miguel Quinones-Ramirez
Jorge Ríos-Martínez
Víctor Uc Cetina
SSL
59
5
0
17 Feb 2023
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