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. 1702.08887
  4. Cited By
Stabilising Experience Replay for Deep Multi-Agent Reinforcement
  Learning

Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning

28 February 2017
Jakob N. Foerster
Nantas Nardelli
Gregory Farquhar
Triantafyllos Afouras
Philip H. S. Torr
Pushmeet Kohli
Shimon Whiteson
    OffRL
ArXivPDFHTML

Papers citing "Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning"

50 / 88 papers shown
Title
Barrier Function Overrides For Non-Convex Fixed Wing Flight Control and Self-Driving Cars
Barrier Function Overrides For Non-Convex Fixed Wing Flight Control and Self-Driving Cars
Eric Squires
Phillip Odom
Z. Kira
31
0
0
08 May 2025
Small-Scale-Fading-Aware Resource Allocation in Wireless Federated Learning
Small-Scale-Fading-Aware Resource Allocation in Wireless Federated Learning
Jiacheng Wang
Le Liang
Hao Ye
Chongtao Guo
Shi Jin
42
0
0
06 May 2025
Learning Policies for Dynamic Coalition Formation in Multi-Robot Task Allocation
Learning Policies for Dynamic Coalition Formation in Multi-Robot Task Allocation
Lucas C. D. Bezerra
Ataíde M. G. dos Santos
Shinkyu Park
37
0
0
29 Dec 2024
Multi-agent Reinforcement Learning with Deep Networks for Diverse
  Q-Vectors
Multi-agent Reinforcement Learning with Deep Networks for Diverse Q-Vectors
Zhenglong Luo
Zhiyong Chen
James Welsh
22
1
0
12 Jun 2024
Beyond Theorems: A Counterexample to Potential Markov Game Criteria
Beyond Theorems: A Counterexample to Potential Markov Game Criteria
Fatemeh Fardno
S. Zahedi
52
0
0
13 May 2024
Multi-Agent Reinforcement Learning for Connected and Automated Vehicles
  Control: Recent Advancements and Future Prospects
Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects
Min Hua
Dong Chen
Xinda Qi
Kun Jiang
Z. Liu
Quan Zhou
Hongming Xu
23
10
0
18 Dec 2023
Multi-agent Reinforcement Learning: A Comprehensive Survey
Multi-agent Reinforcement Learning: A Comprehensive Survey
Dom Huh
Prasant Mohapatra
AI4CE
33
8
0
15 Dec 2023
Deep reinforcement learning for machine scheduling: Methodology, the
  state-of-the-art, and future directions
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions
Maziyar Khadivi
Todd Charter
Marjan Yaghoubi
Masoud Jalayer
Maryam Ahang
Ardeshir Shojaeinasab
H. Najjaran
35
11
0
04 Oct 2023
Enhancing the Performance of Multi-Agent Reinforcement Learning for
  Controlling HVAC Systems
Enhancing the Performance of Multi-Agent Reinforcement Learning for Controlling HVAC Systems
Daniel R. Bayer
M. Pruckner
AI4CE
13
7
0
13 Sep 2023
Policy Diversity for Cooperative Agents
Policy Diversity for Cooperative Agents
M. Tan
Andong Tian
Ludovic Denoyer
26
2
0
28 Aug 2023
An Algorithm For Adversary Aware Decentralized Networked MARL
An Algorithm For Adversary Aware Decentralized Networked MARL
Soumajyoti Sarkar
AAML
11
1
0
09 May 2023
Graph Exploration for Effective Multi-agent Q-Learning
Graph Exploration for Effective Multi-agent Q-Learning
Ainur Zhaikhan
Ali H. Sayed
37
1
0
19 Apr 2023
SVDE: Scalable Value-Decomposition Exploration for Cooperative
  Multi-Agent Reinforcement Learning
SVDE: Scalable Value-Decomposition Exploration for Cooperative Multi-Agent Reinforcement Learning
Shuhan Qi
Shuhao Zhang
Qiang-qiang Wang
Jia-jia Zhang
Jing Xiao
Xinyu Wang
34
0
0
16 Mar 2023
Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent
  Deep Reinforcement Learning via Multi-Timescale Learning
Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning
Hadi Nekoei
Akilesh Badrinaaraayanan
Amit Sinha
Mohammad Amini
Janarthanan Rajendran
Aditya Mahajan
Sarath Chandar
31
13
0
06 Feb 2023
Opponent-aware Role-based Learning in Team Competitive Markov Games
Opponent-aware Role-based Learning in Team Competitive Markov Games
Paramita Koley
Aurghya Maiti
Niloy Ganguly
Sourangshu Bhattacharya
24
1
0
14 Jan 2023
Multi-Agent Dynamic Pricing in a Blockchain Protocol Using Gaussian
  Bandits
Multi-Agent Dynamic Pricing in a Blockchain Protocol Using Gaussian Bandits
Alexis Asseman
Tomasz Kornuta
Aniruth Patel
Matt Deible
Sam Green
11
0
0
13 Dec 2022
Solving Continuous Control via Q-learning
Solving Continuous Control via Q-learning
Tim Seyde
Peter Werner
Wilko Schwarting
Igor Gilitschenski
Martin Riedmiller
Daniela Rus
Markus Wulfmeier
OffRL
LRM
35
22
0
22 Oct 2022
MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent
  Reinforcement Learning
MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning
Stephanie Milani
Zhicheng Zhang
Nicholay Topin
Z. Shi
Charles A. Kamhoua
Evangelos E. Papalexakis
Fei Fang
OffRL
80
13
0
25 May 2022
Collaborative Target Search with a Visual Drone Swarm: An Adaptive
  Curriculum Embedded Multistage Reinforcement Learning Approach
Collaborative Target Search with a Visual Drone Swarm: An Adaptive Curriculum Embedded Multistage Reinforcement Learning Approach
Jiaping Xiao
Phumrapee Pisutsin
Mir Feroskhan
27
15
0
26 Apr 2022
Coach-assisted Multi-Agent Reinforcement Learning Framework for
  Unexpected Crashed Agents
Coach-assisted Multi-Agent Reinforcement Learning Framework for Unexpected Crashed Agents
Jian Zhao
Youpeng Zhao
Weixun Wang
Mingyu Yang
Xu Hu
Wen-gang Zhou
Jianye Hao
Houqiang Li
15
7
0
16 Mar 2022
Depthwise Convolution for Multi-Agent Communication with Enhanced
  Mean-Field Approximation
Depthwise Convolution for Multi-Agent Communication with Enhanced Mean-Field Approximation
Donghan Xie
Zhi Wang
Chunlin Chen
D. Dong
OffRL
23
8
0
06 Mar 2022
HiMA: A Fast and Scalable History-based Memory Access Engine for
  Differentiable Neural Computer
HiMA: A Fast and Scalable History-based Memory Access Engine for Differentiable Neural Computer
Yaoyu Tao
Zhengya Zhang
27
5
0
15 Feb 2022
Learning Emergent Random Access Protocol for LEO Satellite Networks
Learning Emergent Random Access Protocol for LEO Satellite Networks
Ju-Hyung Lee
Hyowoon Seo
Jihong Park
M. Bennis
Young-Chai Ko
22
17
0
03 Dec 2021
MAMRL: Exploiting Multi-agent Meta Reinforcement Learning in WAN Traffic
  Engineering
MAMRL: Exploiting Multi-agent Meta Reinforcement Learning in WAN Traffic Engineering
Shan Sun
M. Kiran
Wei Ren
24
2
0
30 Nov 2021
Convergence Rates of Average-Reward Multi-agent Reinforcement Learning
  via Randomized Linear Programming
Convergence Rates of Average-Reward Multi-agent Reinforcement Learning via Randomized Linear Programming
Alec Koppel
Amrit Singh Bedi
Bhargav Ganguly
Vaneet Aggarwal
24
4
0
22 Oct 2021
Influencing Towards Stable Multi-Agent Interactions
Influencing Towards Stable Multi-Agent Interactions
Woodrow Z. Wang
Andy Shih
Annie Xie
Dorsa Sadigh
38
35
0
05 Oct 2021
Emergence of Theory of Mind Collaboration in Multiagent Systems
Emergence of Theory of Mind Collaboration in Multiagent Systems
Luyao Yuan
Zipeng Fu
Linqi Zhou
Kexin Yang
Song-Chun Zhu
46
10
0
30 Sep 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative
  Survey
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey
Amjad Yousef Majid
Serge Saaybi
Tomas van Rietbergen
Vincent François-Lavet
R. V. Prasad
Chris Verhoeven
OffRL
60
54
0
28 Sep 2021
EMVLight: A Decentralized Reinforcement Learning Framework for Efficient
  Passage of Emergency Vehicles
EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles
Haoran Su
Yaofeng Desmond Zhong
Biswadip Dey
Amit Chakraborty
53
18
0
12 Sep 2021
Federated Reinforcement Learning: Techniques, Applications, and Open
  Challenges
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges
Jiaju Qi
Qihao Zhou
Lei Lei
Kan Zheng
FedML
31
145
0
26 Aug 2021
Heterogeneous Graph Attention Networks for Learning Diverse
  Communication
Heterogeneous Graph Attention Networks for Learning Diverse Communication
Esmaeil Seraj
Zheyuan Wang
Rohan R. Paleja
Matt B Sklar
Anirudh Patel
Matthew C. Gombolay
26
19
0
21 Aug 2021
Decentralized Multi-AGV Task Allocation based on Multi-Agent
  Reinforcement Learning with Information Potential Field Rewards
Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning with Information Potential Field Rewards
Mengyuan Li
Bin Guo
Jiangshan Zhang
Jiaqi Liu
Sicong Liu
Zhiwen Yu
Zhetao Li
Liyao Xiang
19
12
0
16 Aug 2021
Offline Decentralized Multi-Agent Reinforcement Learning
Offline Decentralized Multi-Agent Reinforcement Learning
Jiechuan Jiang
Zongqing Lu
OffRL
22
37
0
04 Aug 2021
Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing
  Centralized Training
Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training
P. Sharma
Rolando Fernandez
Erin G. Zaroukian
M. Dorothy
Anjon Basak
Derrik E. Asher
11
40
0
29 Jul 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
Iou-Jen Liu
Unnat Jain
Raymond A. Yeh
A. Schwing
36
104
0
23 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real
  world: aligning domain-agnostic and domain-specific research
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research
J. Luis
E. Crawley
B. Cameron
OffRL
25
6
0
07 Jul 2021
Social Coordination and Altruism in Autonomous Driving
Social Coordination and Altruism in Autonomous Driving
Behrad Toghi
Rodolfo Valiente
Dorsa Sadigh
Ramtin Pedarsani
Y. P. Fallah
24
66
0
01 Jul 2021
Class-Incremental Experience Replay for Continual Learning under Concept
  Drift
Class-Incremental Experience Replay for Continual Learning under Concept Drift
Lukasz Korycki
Bartosz Krawczyk
8
31
0
24 Apr 2021
Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent
  Reinforcement Learning
Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning
Yuan Pu
Shaochen Wang
Rui Yang
Xin Yao
Bin Li
11
19
0
14 Apr 2021
Replay in Deep Learning: Current Approaches and Missing Biological
  Elements
Replay in Deep Learning: Current Approaches and Missing Biological Elements
Tyler L. Hayes
G. Krishnan
M. Bazhenov
H. Siegelmann
T. Sejnowski
Christopher Kanan
CLL
36
130
0
01 Apr 2021
Learning to Robustly Negotiate Bi-Directional Lane Usage in
  High-Conflict Driving Scenarios
Learning to Robustly Negotiate Bi-Directional Lane Usage in High-Conflict Driving Scenarios
Christoph Killing
Adam R. Villaflor
John M. Dolan
25
5
0
22 Mar 2021
Credit Assignment with Meta-Policy Gradient for Multi-Agent
  Reinforcement Learning
Credit Assignment with Meta-Policy Gradient for Multi-Agent Reinforcement Learning
Jianzhun Shao
Hongchang Zhang
Yuhang Jiang
Shuncheng He
Xiangyang Ji
29
5
0
24 Feb 2021
HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via
  Learned Messaging
HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via Learned Messaging
Nikunj Gupta
G. Srinivasaraghavan
S. Mohalik
Nishant Kumar
Matthew E. Taylor
24
15
0
18 Jan 2021
PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid
  Control
PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control
Dong Chen
Kaian Chen
Tianshu Chu
Rui Yao
F. Qiu
Kaixiang Lin
33
64
0
24 Nov 2020
Learning to Play against Any Mixture of Opponents
Learning to Play against Any Mixture of Opponents
Max O. Smith
Thomas W. Anthony
Yongzhao Wang
Michael P. Wellman
OffRL
27
9
0
29 Sep 2020
Off-Policy Multi-Agent Decomposed Policy Gradients
Off-Policy Multi-Agent Decomposed Policy Gradients
Yihan Wang
Beining Han
Tonghan Wang
Heng Dong
Chongjie Zhang
27
174
0
24 Jul 2020
Value-Decomposition Multi-Agent Actor-Critics
Value-Decomposition Multi-Agent Actor-Critics
Jianyu Su
Stephen C. Adams
Peter A. Beling
68
101
0
24 Jul 2020
Efficient Ridesharing Dispatch Using Multi-Agent Reinforcement Learning
Efficient Ridesharing Dispatch Using Multi-Agent Reinforcement Learning
Oscar de Lima
Hansal Shah
Ting-Sheng Chu
Brian Fogelson
24
11
0
18 Jun 2020
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep
  Multi-Agent Reinforcement Learning
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid
Gregory Farquhar
Bei Peng
Shimon Whiteson
24
345
0
18 Jun 2020
AI Research Considerations for Human Existential Safety (ARCHES)
AI Research Considerations for Human Existential Safety (ARCHES)
Andrew Critch
David M. Krueger
22
50
0
30 May 2020
12
Next