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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
Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and
  Research Opportunities
Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities
Yanjie Song
Yutong Wu
Yangyang Guo
Ran Yan
Suganthan
Yue Zhang
Witold Pedrycz
Swagatam Das
R. Mallipeddi
Solomon Ajani
55
39
0
25 Aug 2023
Towards Few-shot Coordination: Revisiting Ad-hoc Teamplay Challenge In
  the Game of Hanabi
Towards Few-shot Coordination: Revisiting Ad-hoc Teamplay Challenge In the Game of Hanabi
Hadi Nekoei
Xutong Zhao
Janarthanan Rajendran
Miao Liu
Sarath Chandar
25
4
0
20 Aug 2023
ExpeL: LLM Agents Are Experiential Learners
ExpeL: LLM Agents Are Experiential Learners
Andrew Zhao
Daniel Huang
Quentin Xu
Matthieu Lin
Yong Liu
Gao Huang
LLMAG
27
196
0
20 Aug 2023
GraphCC: A Practical Graph Learning-based Approach to Congestion Control
  in Datacenters
GraphCC: A Practical Graph Learning-based Approach to Congestion Control in Datacenters
Guillermo Bernárdez
José Suárez-Varela
Xiang Shi
Shihan Xiao
Xiangle Cheng
Pere Barlet-Ros
A. Cabellos-Aparicio
GNN
20
0
0
09 Aug 2023
BarlowRL: Barlow Twins for Data-Efficient Reinforcement Learning
BarlowRL: Barlow Twins for Data-Efficient Reinforcement Learning
Omer Veysel Cagatan
Barış Akgün
BDL
OffRL
35
3
0
08 Aug 2023
Reinforcement Learning for Generative AI: State of the Art,
  Opportunities and Open Research Challenges
Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges
Giorgio Franceschelli
Mirco Musolesi
AI4CE
40
20
0
31 Jul 2023
A new Gradient TD Algorithm with only One Step-size: Convergence Rate
  Analysis using $L$-$λ$ Smoothness
A new Gradient TD Algorithm with only One Step-size: Convergence Rate Analysis using LLL-λλλ Smoothness
Hengshuai Yao
26
2
0
29 Jul 2023
Primitive Skill-based Robot Learning from Human Evaluative Feedback
Primitive Skill-based Robot Learning from Human Evaluative Feedback
Ayano Hiranaka
Minjune Hwang
Sharon Lee
Chen Wang
Li Fei-Fei
Jiajun Wu
Ruohan Zhang
OffRL
13
11
0
28 Jul 2023
Reinforcement learning guided fuzz testing for a browser's HTML
  rendering engine
Reinforcement learning guided fuzz testing for a browser's HTML rendering engine
Martin Sablotny
B. S. Jensen
Jeremy Singer
21
0
0
27 Jul 2023
JoinGym: An Efficient Query Optimization Environment for Reinforcement
  Learning
JoinGym: An Efficient Query Optimization Environment for Reinforcement Learning
Kaiwen Wang
Junxiong Wang
Yueying Li
Nathan Kallus
Immanuel Trummer
Wen Sun
GP
57
2
0
21 Jul 2023
Mining of Single-Class by Active Learning for Semantic Segmentation
Mining of Single-Class by Active Learning for Semantic Segmentation
Hugues Lambert
E. Slade
CLL
VLM
19
0
0
18 Jul 2023
IxDRL: A Novel Explainable Deep Reinforcement Learning Toolkit based on
  Analyses of Interestingness
IxDRL: A Novel Explainable Deep Reinforcement Learning Toolkit based on Analyses of Interestingness
Pedro Sequeira
Melinda Gervasio
18
2
0
18 Jul 2023
Boosting Feedback Efficiency of Interactive Reinforcement Learning by
  Adaptive Learning from Scores
Boosting Feedback Efficiency of Interactive Reinforcement Learning by Adaptive Learning from Scores
Shukai Liu
Chenming Wu
Ying Li
Liang Zhang
37
0
0
11 Jul 2023
Reinforcement Learning with Non-Cumulative Objective
Reinforcement Learning with Non-Cumulative Objective
W. Cui
Wei Yu
11
4
0
11 Jul 2023
Dynamic Observation Policies in Observation Cost-Sensitive Reinforcement
  Learning
Dynamic Observation Policies in Observation Cost-Sensitive Reinforcement Learning
C. Bellinger
Mark Crowley
Isaac Tamblyn
17
3
0
05 Jul 2023
Deep Attention Q-Network for Personalized Treatment Recommendation
Deep Attention Q-Network for Personalized Treatment Recommendation
Simin Ma
Junghwan Lee
N. Serban
Shihao Yang
OffRL
38
5
0
04 Jul 2023
Resetting the Optimizer in Deep RL: An Empirical Study
Resetting the Optimizer in Deep RL: An Empirical Study
Kavosh Asadi
Rasool Fakoor
Shoham Sabach
ODL
26
23
0
30 Jun 2023
Value-aware Importance Weighting for Off-policy Reinforcement Learning
Value-aware Importance Weighting for Off-policy Reinforcement Learning
Kristopher De Asis
Eric Graves
R. Sutton
OffRL
15
1
0
27 Jun 2023
Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning
Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning
Jinyi Liu
Yi Ma
Jianye Hao
Yujing Hu
Yan Zheng
Tangjie Lv
Changjie Fan
OffRL
49
2
0
27 Jun 2023
Action Q-Transformer: Visual Explanation in Deep Reinforcement Learning
  with Encoder-Decoder Model using Action Query
Action Q-Transformer: Visual Explanation in Deep Reinforcement Learning with Encoder-Decoder Model using Action Query
Hidenori Itaya
Tsubasa Hirakawa
Takayoshi Yamashita
H. Fujiyoshi
K. Sugiura
OffRL
39
0
0
24 Jun 2023
Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory
  Weighting
Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting
Zhang-Wei Hong
Pulkit Agrawal
Rémi Tachet des Combes
Romain Laroche
OffRL
37
17
0
22 Jun 2023
Int-HRL: Towards Intention-based Hierarchical Reinforcement Learning
Int-HRL: Towards Intention-based Hierarchical Reinforcement Learning
Anna Penzkofer
Simon Schaefer
Florian Strohm
Mihai Bâce
Stefan Leutenegger
Andreas Bulling
24
1
0
20 Jun 2023
Adaptive Ordered Information Extraction with Deep Reinforcement Learning
Adaptive Ordered Information Extraction with Deep Reinforcement Learning
Wenhao Huang
Jiaqing Liang
Zhixu Li
Yanghua Xiao
Chuanjun Ji
OffRL
25
1
0
19 Jun 2023
PLASTIC: Improving Input and Label Plasticity for Sample Efficient
  Reinforcement Learning
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning
Hojoon Lee
Hanseul Cho
Hyunseung Kim
Daehoon Gwak
Joonkee Kim
Jaegul Choo
Se-Young Yun
Chulhee Yun
OffRL
82
26
0
19 Jun 2023
Simplified Temporal Consistency Reinforcement Learning
Simplified Temporal Consistency Reinforcement Learning
Yi Zhao
Wenshuai Zhao
Rinu Boney
Arno Solin
Joni Pajarinen
OffRL
32
13
0
15 Jun 2023
Diverse Projection Ensembles for Distributional Reinforcement Learning
Diverse Projection Ensembles for Distributional Reinforcement Learning
Moritz A. Zanger
Wendelin Bohmer
M. Spaan
38
4
0
12 Jun 2023
Approximate information state based convergence analysis of recurrent
  Q-learning
Approximate information state based convergence analysis of recurrent Q-learning
Erfan Seyedsalehi
N. Akbarzadeh
Amit Sinha
Aditya Mahajan
27
6
0
09 Jun 2023
The Role of Diverse Replay for Generalisation in Reinforcement Learning
The Role of Diverse Replay for Generalisation in Reinforcement Learning
Max Weltevrede
M. Spaan
Wendelin Bohmer
OffRL
25
1
0
09 Jun 2023
On the Importance of Exploration for Generalization in Reinforcement
  Learning
On the Importance of Exploration for Generalization in Reinforcement Learning
Yiding Jiang
J. Zico Kolter
Roberta Raileanu
UQCV
OffRL
34
20
0
08 Jun 2023
Decoupled Prioritized Resampling for Offline RL
Decoupled Prioritized Resampling for Offline RL
Yang Yue
Bingyi Kang
Xiao Ma
Qisen Yang
Gao Huang
S. Song
Shuicheng Yan
OffRL
27
0
0
08 Jun 2023
Progression Cognition Reinforcement Learning with Prioritized Experience
  for Multi-Vehicle Pursuit
Progression Cognition Reinforcement Learning with Prioritized Experience for Multi-Vehicle Pursuit
Xinhang Li
Yiying Yang
Zheng Yuan
Zhe Wang
Qinwen Wang
Chen Xu
Lei Li
Jianhua He
Lin Zhang
25
2
0
08 Jun 2023
Learned spatial data partitioning
Learned spatial data partitioning
Keizo Hori
Yuya Sasaki
Daichi Amagata
Y. Murosaki
Makoto Onizuka
18
3
0
08 Jun 2023
For SALE: State-Action Representation Learning for Deep Reinforcement
  Learning
For SALE: State-Action Representation Learning for Deep Reinforcement Learning
Scott Fujimoto
Wei-Di Chang
Edward James Smith
S. Gu
Doina Precup
David Meger
OffRL
28
45
0
04 Jun 2023
Bad Habits: Policy Confounding and Out-of-Trajectory Generalization in
  RL
Bad Habits: Policy Confounding and Out-of-Trajectory Generalization in RL
Miguel Suau
M. Spaan
F. Oliehoek
CML
32
4
0
04 Jun 2023
AccMER: Accelerating Multi-Agent Experience Replay with Cache
  Locality-aware Prioritization
AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-aware Prioritization
Kailash Gogineni
Yongsheng Mei
Peng Wei
Tian-Shing Lan
Guru Venkataramani
18
13
0
31 May 2023
Bigger, Better, Faster: Human-level Atari with human-level efficiency
Bigger, Better, Faster: Human-level Atari with human-level efficiency
Max Schwarzer
J. Obando-Ceron
Rameswar Panda
Marc G. Bellemare
Rishabh Agarwal
Pablo Samuel Castro
OffRL
54
85
0
30 May 2023
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
33
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
BDL
OffRL
30
20
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
31
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
36
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
M. Geist
Csaba Szepesvári
Wataru Kumagai
Yutaka Matsuo
OffRL
35
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
29
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
44
19
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
49
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
22
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
17
12
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
17
49
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
18
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
32
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
Zehan Li
Ning Li
OffRL
28
3
0
07 May 2023
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