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Contrasting Centralized and Decentralized Critics in Multi-Agent
  Reinforcement Learning
v1v2 (latest)

Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning

Adaptive Agents and Multi-Agent Systems (AAMAS), 2021
8 February 2021
Xueguang Lyu
Yuchen Xiao
Brett Daley
Chris Amato
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning"

50 / 52 papers shown
Heterogeneous Multi-Agent Reinforcement Learning with Attention for Cooperative and Scalable Feature Transformation
Heterogeneous Multi-Agent Reinforcement Learning with Attention for Cooperative and Scalable Feature Transformation
Tao Zhe
Huazhen Fang
Kunpeng Liu
Qian Lou
Tamzidul Hoque
Dongjie Wang
OffRL
106
0
0
26 Nov 2025
$K$-Level Policy Gradients for Multi-Agent Reinforcement Learning
KKK-Level Policy Gradients for Multi-Agent Reinforcement Learning
Aryaman Reddi
Gabriele Tiboni
Jan Peters
Carlo DÉramo
151
1
0
15 Sep 2025
Centralized Adaptive Sampling for Reliable Co-Training of Independent Multi-Agent Policies
Centralized Adaptive Sampling for Reliable Co-Training of Independent Multi-Agent Policies
Nicholas Corrado
Josiah P. Hanna
242
0
0
01 Aug 2025
A Multi-Agent Reinforcement Learning Testbed for Cognitive Radio
  Applications
A Multi-Agent Reinforcement Learning Testbed for Cognitive Radio ApplicationsConsumer Communications and Networking Conference (CCNC), 2024
Sriniketh Vangaru
Daniel Rosen
Dylan Green
Raphael Rodriguez
Maxwell Wiecek
Amos Johnson
Alyse M. Jones
William C. Headley
249
3
0
28 Oct 2024
Hierarchical Multi-agent Reinforcement Learning for Cyber Network Defense
Hierarchical Multi-agent Reinforcement Learning for Cyber Network DefenseAdaptive Agents and Multi-Agent Systems (AAMAS), 2024
Aditya Vikram Singh
Ethan Rathbun
Emma Graham
Lisa Oakley
Simona Boboila
Alina Oprea
Peter Chin
AAML
324
21
0
22 Oct 2024
OPTIMA: Optimized Policy for Intelligent Multi-Agent Systems Enables
  Coordination-Aware Autonomous Vehicles
OPTIMA: Optimized Policy for Intelligent Multi-Agent Systems Enables Coordination-Aware Autonomous Vehicles
Rui Du
Kai Zhao
Jinlong Hou
Qiang Zhang
Peter Zhang
204
2
0
09 Oct 2024
An Introduction to Centralized Training for Decentralized Execution in
  Cooperative Multi-Agent Reinforcement Learning
An Introduction to Centralized Training for Decentralized Execution in Cooperative Multi-Agent Reinforcement Learning
Christopher Amato
OffRL
271
66
0
04 Sep 2024
On Centralized Critics in Multi-Agent Reinforcement Learning
On Centralized Critics in Multi-Agent Reinforcement LearningJournal of Artificial Intelligence Research (JAIR), 2023
Xueguang Lyu
Andrea Baisero
Yuchen Xiao
Brett Daley
Christopher Amato
OffRL
316
23
0
26 Aug 2024
Towards Collaborative Intelligence: Propagating Intentions and Reasoning
  for Multi-Agent Coordination with Large Language Models
Towards Collaborative Intelligence: Propagating Intentions and Reasoning for Multi-Agent Coordination with Large Language Models
Xihe Qiu
Haoyu Wang
Jue Chen
Chao Qu
Yujie Xiong
Yuan Cheng
Yinghui Xu
Wei Chu
Yuan Qi
LLMAGLM&Ro
224
13
0
17 Jul 2024
Dynamic Co-Optimization Compiler: Leveraging Multi-Agent Reinforcement Learning for Enhanced DNN Accelerator Performance
Dynamic Co-Optimization Compiler: Leveraging Multi-Agent Reinforcement Learning for Enhanced DNN Accelerator Performance
Arya Fayyazi
M. Kamal
Massoud Pedram
382
0
0
11 Jul 2024
Dispelling the Mirage of Progress in Offline MARL through Standardised
  Baselines and Evaluation
Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation
Claude Formanek
C. Tilbury
Louise Beyers
Jonathan P. Shock
Arnu Pretorius
OffRL
317
6
0
13 Jun 2024
Centralized vs. Decentralized Multi-Agent Reinforcement Learning for
  Enhanced Control of Electric Vehicle Charging Networks
Centralized vs. Decentralized Multi-Agent Reinforcement Learning for Enhanced Control of Electric Vehicle Charging Networks
Amin Shojaeighadikolaei
Zsolt Talata
Morteza Hashemi
188
7
0
18 Apr 2024
Context-aware Communication for Multi-agent Reinforcement Learning
Context-aware Communication for Multi-agent Reinforcement Learning
Xinran Li
Jun Zhang
418
23
0
25 Dec 2023
MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit
  Assignment
MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit Assignment
Ziyan Wang
Yali Du
Yudi Zhang
Meng Fang
Biwei Huang
OffRL
399
8
0
06 Dec 2023
Snake Robot with Tactile Perception Navigates on Large-scale Challenging
  Terrain
Snake Robot with Tactile Perception Navigates on Large-scale Challenging TerrainIEEE International Conference on Robotics and Automation (ICRA), 2023
Shuo Jiang
Adarsh Salagame
Alireza Ramezani
Lawson Wong
234
11
0
06 Dec 2023
Robust Network Slicing: Multi-Agent Policies, Adversarial Attacks, and
  Defensive Strategies
Robust Network Slicing: Multi-Agent Policies, Adversarial Attacks, and Defensive Strategies
Feng Wang
M. C. Gursoy
Senem Velipasalar
AAML
165
2
0
19 Nov 2023
AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline
  Multi-Agent RL via Alternating Stationary Distribution Correction Estimation
AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction EstimationNeural Information Processing Systems (NeurIPS), 2023
Daiki E. Matsunaga
Jongmin Lee
Jaeseok Yoon
Stefanos Leonardos
Pieter Abbeel
Kee-Eung Kim
OODDOffRL
196
9
0
03 Nov 2023
Learning Multi-Agent Communication with Contrastive Learning
Learning Multi-Agent Communication with Contrastive LearningInternational Conference on Learning Representations (ICLR), 2023
Y. Lo
B. Sengupta
Jakob N. Foerster
Michael Noukhovitch
376
11
0
03 Jul 2023
A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning
  Coordination Problem
A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination ProblemAdaptive Agents and Multi-Agent Systems (AAMAS), 2023
Paul Barde
Jakob N. Foerster
Derek Nowrouzezahrai
Amy Zhang
OffRL
308
17
0
26 May 2023
Fast Teammate Adaptation in the Presence of Sudden Policy Change
Fast Teammate Adaptation in the Presence of Sudden Policy ChangeConference on Uncertainty in Artificial Intelligence (UAI), 2023
Ziqian Zhang
Lei Yuan
Lihe Li
Ke Xue
Chengxing Jia
Cong Guan
Chao Qian
Yang Yu
374
14
0
10 May 2023
An Algorithm For Adversary Aware Decentralized Networked MARL
An Algorithm For Adversary Aware Decentralized Networked MARL
Soumajyoti Sarkar
AAML
259
2
0
09 May 2023
Multi-agent Continual Coordination via Progressive Task
  Contextualization
Multi-agent Continual Coordination via Progressive Task ContextualizationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Lei Yuan
Lihe Li
Ziqian Zhang
Fuxiang Zhang
Cong Guan
Yang Yu
CLL
304
15
0
07 May 2023
Robust Multi-agent Communication via Multi-view Message Certification
Robust Multi-agent Communication via Multi-view Message Certification
Lei Yuan
T. Jiang
Lihe Li
F. Chen
Zongzhang Zhang
Yang Yu
288
35
0
07 May 2023
Interpretability for Conditional Coordinated Behavior in Multi-Agent
  Reinforcement Learning
Interpretability for Conditional Coordinated Behavior in Multi-Agent Reinforcement LearningIEEE International Joint Conference on Neural Network (IJCNN), 2023
Yoshinari Motokawa
T. Sugawara
AI4CE
194
3
0
20 Apr 2023
Efficient Communication via Self-supervised Information Aggregation for
  Online and Offline Multi-agent Reinforcement Learning
Efficient Communication via Self-supervised Information Aggregation for Online and Offline Multi-agent Reinforcement LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Cong Guan
F. Chen
Lei Yuan
Zongzhang Zhang
Yang Yu
OffRL
249
9
0
19 Feb 2023
Graph Learning Based Decision Support for Multi-Aircraft Take-Off and
  Landing at Urban Air Mobility Vertiports
Graph Learning Based Decision Support for Multi-Aircraft Take-Off and Landing at Urban Air Mobility Vertiports
Prajit K. Kumar
Jhoel Witter
Steve Paul
Karthik Dantu
Souma Chowdhury
172
10
0
12 Feb 2023
Traffic Shaping and Hysteresis Mitigation Using Deep Reinforcement
  Learning in a Connected Driving Environment
Traffic Shaping and Hysteresis Mitigation Using Deep Reinforcement Learning in a Connected Driving Environment
R. Ammourah
Alireza Talebpour
121
0
0
06 Feb 2023
Off-the-Grid MARL: Datasets with Baselines for Offline Multi-Agent
  Reinforcement Learning
Off-the-Grid MARL: Datasets with Baselines for Offline Multi-Agent Reinforcement Learning
Claude Formanek
Asad Jeewa
Jonathan P. Shock
Arnu Pretorius
OffRL
458
6
0
01 Feb 2023
Attention-Based Recurrence for Multi-Agent Reinforcement Learning under
  Stochastic Partial Observability
Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial ObservabilityInternational Conference on Machine Learning (ICML), 2023
Thomy Phan
Fabian Ritz
Philipp Altmann
Maximilian Zorn
Jonas Nusslein
Michael Kolle
Thomas Gabor
Claudia Linnhoff-Popien
439
25
0
04 Jan 2023
AdverSAR: Adversarial Search and Rescue via Multi-Agent Reinforcement
  Learning
AdverSAR: Adversarial Search and Rescue via Multi-Agent Reinforcement LearningIEEE International Conference on Technologies for Homeland Security (HST), 2022
A. Rahman
Arnab Bhattacharya
Thiagarajan Ramachandran
Sayak Mukherjee
Himanshu Sharma
Ted Fujimoto
Samrat Chatterjee
207
11
0
20 Dec 2022
Multi-Agent Reinforcement Learning with Shared Resources for Inventory
  Management
Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management
Yuandong Ding
Ming Feng
Guozi Liu
Wei Jiang
Wei Shen
Li Zhao
Lei Song
Houqiang Li
Yan Jin
Jiang Bian
330
21
0
15 Dec 2022
Curriculum Learning for Relative Overgeneralization
Curriculum Learning for Relative Overgeneralization
Lin Shi
Bei Peng
234
1
0
06 Dec 2022
A Multi-Agent Approach for Adaptive Finger Cooperation in Learning-based
  In-Hand Manipulation
A Multi-Agent Approach for Adaptive Finger Cooperation in Learning-based In-Hand ManipulationIEEE International Conference on Robotics and Automation (ICRA), 2022
Lingfeng Tao
Jiucai Zhang
Michael Bowman
Xiaoli Zhang
221
6
0
11 Oct 2022
Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning
Asynchronous Actor-Critic for Multi-Agent Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022
Yuchen Xiao
Weihao Tan
Chris Amato
OffRL
323
29
0
20 Sep 2022
Distributed Influence-Augmented Local Simulators for Parallel MARL in
  Large Networked Systems
Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked SystemsNeural Information Processing Systems (NeurIPS), 2022
Miguel Suau
Jinke He
Mustafa Mert cCelikok
M. Spaan
F. Oliehoek
397
1
0
01 Jul 2022
Hierarchical Reinforcement Learning with Opponent Modeling for
  Distributed Multi-agent Cooperation
Hierarchical Reinforcement Learning with Opponent Modeling for Distributed Multi-agent CooperationIEEE International Conference on Distributed Computing Systems (ICDCS), 2022
Zhixuan Liang
Jiannong Cao
Shan Jiang
Divya Saxena
Huafeng Xu
225
12
0
25 Jun 2022
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem
Multi-Agent Reinforcement Learning is a Sequence Modeling ProblemNeural Information Processing Systems (NeurIPS), 2022
Muning Wen
J. Kuba
Runji Lin
Weinan Zhang
Ying Wen
Jun Wang
Yaodong Yang
452
305
0
30 May 2022
General sum stochastic games with networked information flows
General sum stochastic games with networked information flows
Sarah H. Q. Li
Lillian J. Ratliff
Peeyush Kumar
295
0
0
05 May 2022
Bilateral Deep Reinforcement Learning Approach for Better-than-human Car
  Following Model
Bilateral Deep Reinforcement Learning Approach for Better-than-human Car Following Model
Tianyu Shi
Yi Ai
Omar ElSamadisy
Baher Abdulhai
OffRL
268
13
0
03 Mar 2022
Trust Region Bounds for Decentralized PPO Under Non-stationarity
Trust Region Bounds for Decentralized PPO Under Non-stationarityAdaptive Agents and Multi-Agent Systems (AAMAS), 2022
Mingfei Sun
Sam Devlin
Jacob Beck
Katja Hofmann
Shimon Whiteson
436
14
0
31 Jan 2022
A Deeper Understanding of State-Based Critics in Multi-Agent
  Reinforcement Learning
A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement LearningAAAI Conference on Artificial Intelligence (AAAI), 2022
Xueguang Lyu
Andrea Baisero
Yuchen Xiao
Chris Amato
OffRL
374
19
0
03 Jan 2022
Local Advantage Networks for Cooperative Multi-Agent Reinforcement
  Learning
Local Advantage Networks for Cooperative Multi-Agent Reinforcement Learning
Raphael Avalos
Mathieu Reymond
Ann Nowé
D. Roijers
OffRL
272
0
0
23 Dec 2021
Off-Policy Correction For Multi-Agent Reinforcement Learning
Off-Policy Correction For Multi-Agent Reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2021
Michał Zawalski
Bla.zej Osiñski
Henryk Michalewski
Piotr Milo's
OffRL
214
3
0
22 Nov 2021
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement
  Learning with Actor Rectification
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor RectificationInternational Conference on Machine Learning (ICML), 2021
L. Pan
Longbo Huang
Tengyu Ma
Huazhe Xu
OffRLOnRL
420
76
0
22 Nov 2021
On the Use and Misuse of Absorbing States in Multi-agent Reinforcement
  Learning
On the Use and Misuse of Absorbing States in Multi-agent Reinforcement Learning
Andrew Cohen
Ervin Teng
Vincent-Pierre Berges
Ruo-Ping Dong
Hunter Henry
Marwan Mattar
Alexander Zook
Sujoy Ganguly
271
47
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10 Nov 2021
Local Advantage Actor-Critic for Robust Multi-Agent Deep Reinforcement
  Learning
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Yuchen Xiao
Xueguang Lyu
Chris Amato
323
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AB-Mapper: Attention and BicNet Based Multi-agent Path Finding for
  Dynamic Crowded Environment
AB-Mapper: Attention and BicNet Based Multi-agent Path Finding for Dynamic Crowded Environment
Huifeng Guan
Yuan Gao
Ming Zhao
Yong Yang
Fuqin Deng
Tin Lun Lam
203
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LINDA: Multi-Agent Local Information Decomposition for Awareness of
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Jiahan Cao
Lei Yuan
Jianhao Wang
Shaowei Zhang
Chongjie Zhang
Yang Yu
De-Chuan Zhan
267
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Sample and Communication-Efficient Decentralized Actor-Critic Algorithms
  with Finite-Time Analysis
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Ziyi Chen
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Rongrong Chen
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Settling the Variance of Multi-Agent Policy Gradients
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J. Kuba
Muning Wen
Yaodong Yang
Linghui Meng
Shangding Gu
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Jun Wang
398
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