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. 1712.01275
  4. Cited By
A Deeper Look at Experience Replay

A Deeper Look at Experience Replay

4 December 2017
Shangtong Zhang
R. Sutton
    OffRL
    VLM
ArXivPDFHTML

Papers citing "A Deeper Look at Experience Replay"

50 / 56 papers shown
Title
Towards Bio-inspired Heuristically Accelerated Reinforcement Learning for Adaptive Underwater Multi-Agents Behaviour
Antoine Vivien
Thomas Chaffre
Matthew Stephenson
Eva Artusi
Paulo E. Santos
Benoit Clement
Karl Sammut
AI4CE
66
0
0
10 Feb 2025
MADAR: Efficient Continual Learning for Malware Analysis with Diversity-Aware Replay
MADAR: Efficient Continual Learning for Malware Analysis with Diversity-Aware Replay
Mohammad Saidur Rahman
Scott E. Coull
Qi Yu
M. Wright
AAML
56
0
0
09 Feb 2025
Harvesting energy from turbulent winds with Reinforcement Learning
Harvesting energy from turbulent winds with Reinforcement Learning
Lorenzo Basile
Maria Grazia Berni
Antonio Celani
72
0
0
18 Dec 2024
ETGL-DDPG: A Deep Deterministic Policy Gradient Algorithm for Sparse Reward Continuous Control
ETGL-DDPG: A Deep Deterministic Policy Gradient Algorithm for Sparse Reward Continuous Control
Ehsan Futuhi
Shayan Karimi
Chao Gao
Martin Müller
43
1
0
07 Oct 2024
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning
Jianye Xu
Pan Hu
Bassam Alrifaee
44
5
0
14 Aug 2024
Shared learning of powertrain control policies for vehicle fleets
Shared learning of powertrain control policies for vehicle fleets
Lindsey Kerbel
B. Ayalew
Andrej Ivanco
31
0
0
27 Apr 2024
Research on Robot Path Planning Based on Reinforcement Learning
Research on Robot Path Planning Based on Reinforcement Learning
Ruiqi Wang
41
1
0
22 Apr 2024
Enhanced Generalization through Prioritization and Diversity in
  Self-Imitation Reinforcement Learning over Procedural Environments with
  Sparse Rewards
Enhanced Generalization through Prioritization and Diversity in Self-Imitation Reinforcement Learning over Procedural Environments with Sparse Rewards
Alain Andres
Daochen Zha
Javier Del Ser
39
0
0
01 Nov 2023
Machine Learning Meets Advanced Robotic Manipulation
Machine Learning Meets Advanced Robotic Manipulation
Saeid Nahavandi
R. Alizadehsani
D. Nahavandi
Chee Peng Lim
Kevin Kelly
Fernando Bello
24
17
0
22 Sep 2023
IOB: Integrating Optimization Transfer and Behavior Transfer for
  Multi-Policy Reuse
IOB: Integrating Optimization Transfer and Behavior Transfer for Multi-Policy Reuse
Siyuan Li
Haoyang Li
Jin Zhang
Zhen Wang
Peng Liu
Chongjie Zhang
OffRL
26
1
0
14 Aug 2023
Fair yet Asymptotically Equal Collaborative Learning
Fair yet Asymptotically Equal Collaborative Learning
Xiaoqiang Lin
Xinyi Xu
See-Kiong Ng
Chuan-Sheng Foo
Bryan Kian Hsiang Low
FedML
16
7
0
09 Jun 2023
Networked Communication for Decentralised Agents in Mean-Field Games
Networked Communication for Decentralised Agents in Mean-Field Games
Patrick Benjamin
Alessandro Abate
FedML
40
2
0
05 Jun 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
Deep Deterministic Policy Gradient for End-to-End Communication Systems
  without Prior Channel Knowledge
Deep Deterministic Policy Gradient for End-to-End Communication Systems without Prior Channel Knowledge
Bolun Zhang
Nguyen Van Huynh
30
4
0
12 May 2023
Intelligent O-RAN Traffic Steering for URLLC Through Deep Reinforcement
  Learning
Intelligent O-RAN Traffic Steering for URLLC Through Deep Reinforcement Learning
Ibrahim Tamim
Sam Aleyadeh
Abdallah Shami
AI4TS
18
7
0
03 Mar 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
39
38
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
8
0
0
20 Feb 2023
A Memory Efficient Deep Reinforcement Learning Approach For Snake Game
  Autonomous Agents
A Memory Efficient Deep Reinforcement Learning Approach For Snake Game Autonomous Agents
Md. Rafat Rahman Tushar
Shahnewaz Siddique
15
5
0
27 Jan 2023
Which Experiences Are Influential for Your Agent? Policy Iteration with Turn-over Dropout
Takuya Hiraoka
Takashi Onishi
Yoshimasa Tsuruoka
OffRL
29
0
0
26 Jan 2023
Learning from Data Streams: An Overview and Update
Learning from Data Streams: An Overview and Update
Jesse Read
Indr.e vZliobait.e
19
4
0
30 Dec 2022
System Design for an Integrated Lifelong Reinforcement Learning Agent
  for Real-Time Strategy Games
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games
Indranil Sur
Z. Daniels
Abrar Rahman
Kamil Faber
Gianmarco J. Gallardo
...
Roberto Corizzo
Ajay Divakaran
M. Piacentino
Jesse Hostetler
Aswin Raghavan
CLL
OffRL
38
4
0
08 Dec 2022
Greedy based Value Representation for Optimal Coordination in
  Multi-agent Reinforcement Learning
Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning
Lipeng Wan
Zeyang Liu
Xingyu Chen
Xuguang Lan
Han Wang
47
12
0
22 Nov 2022
Can maker-taker fees prevent algorithmic cooperation in market making?
Can maker-taker fees prevent algorithmic cooperation in market making?
Bingyan Han
40
1
0
01 Nov 2022
Multi-time Predictions of Wildfire Grid Map using Remote Sensing Local
  Data
Multi-time Predictions of Wildfire Grid Map using Remote Sensing Local Data
Hyung-Jin Yoon
P. Voulgaris
14
3
0
15 Sep 2022
Model-Free Generative Replay for Lifelong Reinforcement Learning:
  Application to Starcraft-2
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2
Z. Daniels
Aswin Raghavan
Jesse Hostetler
Abrar Rahman
Indranil Sur
M. Piacentino
Ajay Divakaran
CLL
OffRL
31
12
0
09 Aug 2022
Asynchronous Curriculum Experience Replay: A Deep Reinforcement Learning
  Approach for UAV Autonomous Motion Control in Unknown Dynamic Environments
Asynchronous Curriculum Experience Replay: A Deep Reinforcement Learning Approach for UAV Autonomous Motion Control in Unknown Dynamic Environments
Zijian Hu
Xiao-guang Gao
Kaifang Wan
Qianglong Wang
Yiwei Zhai
40
10
0
04 Jul 2022
Analysis of Stochastic Processes through Replay Buffers
Analysis of Stochastic Processes through Replay Buffers
Shirli Di-Castro Shashua
Shie Mannor
Dotan Di-Castro
36
6
0
26 Jun 2022
Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement
  Learning
Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning
Hongpeng Cao
Mirco Theile
Federico G. Wyrwal
Marco Caccamo
43
6
0
04 Mar 2022
Multi-Agent Reinforcement Learning for Network Selection and Resource
  Allocation in Heterogeneous multi-RAT Networks
Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous multi-RAT Networks
Mhd Saria Allahham
A. Abdellatif
N. Mhaisen
Amr M. Mohamed
A. Erbad
Mohsen Guizani
26
31
0
21 Feb 2022
Replay For Safety
Replay For Safety
Liran Szlak
Ohad Shamir
OffRL
16
0
0
08 Dec 2021
Convergence Results For Q-Learning With Experience Replay
Convergence Results For Q-Learning With Experience Replay
Liran Szlak
Ohad Shamir
OffRL
29
5
0
08 Dec 2021
Learning Wildfire Model from Incomplete State Observations
Learning Wildfire Model from Incomplete State Observations
Alissa Chavalithumrong
Hyung-Jin Yoon
P. Voulgaris
14
2
0
28 Nov 2021
Policy Gradient and Actor-Critic Learning in Continuous Time and Space:
  Theory and Algorithms
Policy Gradient and Actor-Critic Learning in Continuous Time and Space: Theory and Algorithms
Yanwei Jia
X. Zhou
OffRL
30
78
0
22 Nov 2021
Off-Policy Correction for Deep Deterministic Policy Gradient Algorithms
  via Batch Prioritized Experience Replay
Off-Policy Correction for Deep Deterministic Policy Gradient Algorithms via Batch Prioritized Experience Replay
Dogan C. Cicek
Enes Duran
Baturay Saglam
Furkan B. Mutlu
Suleyman Serdar Kozat
OffRL
25
11
0
02 Nov 2021
Continual Learning on Noisy Data Streams via Self-Purified Replay
Continual Learning on Noisy Data Streams via Self-Purified Replay
C. Kim
Jinseo Jeong
Sang-chul Moon
Gunhee Kim
CLL
40
39
0
14 Oct 2021
Imaginary Hindsight Experience Replay: Curious Model-based Learning for
  Sparse Reward Tasks
Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks
Robert McCarthy
Qiang Wang
S. Redmond
OffRL
27
15
0
05 Oct 2021
Membership Inference Attacks Against Temporally Correlated Data in Deep
  Reinforcement Learning
Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning
Maziar Gomrokchi
Susan Amin
Hossein Aboutalebi
Alexander Wong
Doina Precup
MIACV
AAML
42
3
0
08 Sep 2021
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
Daochen Zha
Jingru Xie
Wenye Ma
Sheng Zhang
Xiangru Lian
Xia Hu
Ji Liu
16
117
0
11 Jun 2021
Simplifying Deep Reinforcement Learning via Self-Supervision
Simplifying Deep Reinforcement Learning via Self-Supervision
Daochen Zha
Kwei-Herng Lai
Kaixiong Zhou
Xia Hu
SSL
49
15
0
10 Jun 2021
Reinforcement Learning For Constraint Satisfaction Game Agents
  (15-Puzzle, Minesweeper, 2048, and Sudoku)
Reinforcement Learning For Constraint Satisfaction Game Agents (15-Puzzle, Minesweeper, 2048, and Sudoku)
Anav Mehta
AI4CE
24
4
0
09 Feb 2021
Multi-UAV Path Planning for Wireless Data Harvesting with Deep
  Reinforcement Learning
Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning
Harald Bayerlein
Mirco Theile
Marco Caccamo
David Gesbert
31
120
0
23 Oct 2020
Toolpath design for additive manufacturing using deep reinforcement
  learning
Toolpath design for additive manufacturing using deep reinforcement learning
M. Mozaffar
Ablodghani Ebrahimi
Jian Cao
AI4CE
12
7
0
30 Sep 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
34
79
0
17 Sep 2020
Revisiting Fundamentals of Experience Replay
Revisiting Fundamentals of Experience Replay
W. Fedus
Prajit Ramachandran
Rishabh Agarwal
Yoshua Bengio
Hugo Larochelle
Mark Rowland
Will Dabney
KELM
OffRL
30
233
0
13 Jul 2020
UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement
  Learning Approach
UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach
Harald Bayerlein
Mirco Theile
Marco Caccamo
David Gesbert
21
54
0
01 Jul 2020
Adaptive Partial Scanning Transmission Electron Microscopy with
  Reinforcement Learning
Adaptive Partial Scanning Transmission Electron Microscopy with Reinforcement Learning
Jeffrey M. Ede
24
12
0
06 Apr 2020
SLM Lab: A Comprehensive Benchmark and Modular Software Framework for
  Reproducible Deep Reinforcement Learning
SLM Lab: A Comprehensive Benchmark and Modular Software Framework for Reproducible Deep Reinforcement Learning
Keng Wah Loon
L. Graesser
Milan Cvitkovic
OffRL
18
13
0
28 Dec 2019
Off-Policy Actor-Critic with Shared Experience Replay
Off-Policy Actor-Critic with Shared Experience Replay
Simon Schmitt
Matteo Hessel
Karen Simonyan
OffRL
27
68
0
25 Sep 2019
Deep reinforcement learning in World-Earth system models to discover
  sustainable management strategies
Deep reinforcement learning in World-Earth system models to discover sustainable management strategies
Felix M. Strnad
W. Barfuss
J. Donges
J. Heitzig
30
25
0
15 Aug 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
Afshin Oroojlooyjadid
Davood Hajinezhad
51
412
0
11 Aug 2019
12
Next