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Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
v1v2v3v4 (latest)

Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

7 June 2017
Ryan J. Lowe
Yi Wu
Aviv Tamar
J. Harb
Pieter Abbeel
Igor Mordatch
ArXiv (abs)PDFHTML

Papers citing "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

50 / 1,627 papers shown
Title
MAAIP: Multi-Agent Adversarial Interaction Priors for imitation from
  fighting demonstrations for physics-based characters
MAAIP: Multi-Agent Adversarial Interaction Priors for imitation from fighting demonstrations for physics-based characters
Mohamed Younes
Ewa Kijak
R. Kulpa
Simon Malinowski
Franck Multon
AI4CE
76
2
0
04 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 Estimation
Daiki E. Matsunaga
Jongmin Lee
Jaeseok Yoon
Stefanos Leonardos
Pieter Abbeel
Kee-Eung Kim
OODDOffRL
70
5
0
03 Nov 2023
Optimistic Multi-Agent Policy Gradient
Optimistic Multi-Agent Policy Gradient
Wenshuai Zhao
Yi Zhao
Zhiyuan Li
Arno Solin
Joni Pajarinen
83
2
0
03 Nov 2023
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value
  Factorization
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization
Siqi Shen
Chennan Ma
Chao Li
Weiquan Liu
Yongquan Fu
Songzhu Mei
Xinwang Liu
Cheng-Yu Wang
62
13
0
03 Nov 2023
Selectively Sharing Experiences Improves Multi-Agent Reinforcement
  Learning
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning
M. Gerstgrasser
Tom Danino
Sarah Keren
77
7
0
01 Nov 2023
QFree: A Universal Value Function Factorization for Multi-Agent
  Reinforcement Learning
QFree: A Universal Value Function Factorization for Multi-Agent Reinforcement Learning
Rizhong Wang
Huiping Li
Di Cui
Demin Xu
OffRL
68
0
0
01 Nov 2023
Safe multi-agent motion planning under uncertainty for drones using
  filtered reinforcement learning
Safe multi-agent motion planning under uncertainty for drones using filtered reinforcement learning
Sleiman Safaoui
Abraham P. Vinod
Ankush Chakrabarty
R. Quirynen
Nobuyuki Yoshikawa
Stefano Di Cairano
97
4
0
31 Oct 2023
Fair collaborative vehicle routing: A deep multi-agent reinforcement
  learning approach
Fair collaborative vehicle routing: A deep multi-agent reinforcement learning approach
Stephen Mak
Liming Xu
Tim Pearce
Michael Ostroumov
Alexandra Brintrup
52
12
0
26 Oct 2023
MultiPrompter: Cooperative Prompt Optimization with Multi-Agent
  Reinforcement Learning
MultiPrompter: Cooperative Prompt Optimization with Multi-Agent Reinforcement Learning
Dong-Ki Kim
Sungryull Sohn
Lajanugen Logeswaran
Dongsub Shim
Honglak Lee
LLMAG
85
1
0
25 Oct 2023
DACOOP-A: Decentralized Adaptive Cooperative Pursuit via Attention
DACOOP-A: Decentralized Adaptive Cooperative Pursuit via Attention
Zheng Zhang
Dengyu Zhang
Qingrui Zhang
Wei Pan
Tianjiang Hu
129
7
0
24 Oct 2023
DePAint: A Decentralized Safe Multi-Agent Reinforcement Learning
  Algorithm considering Peak and Average Constraints
DePAint: A Decentralized Safe Multi-Agent Reinforcement Learning Algorithm considering Peak and Average Constraints
Raheeb Hassan
K. M. S. Wadith
Md. Mamun-or Rashid
Md. Mosaddek Khan
73
2
0
22 Oct 2023
Impact of Relational Networks in Multi-Agent Learning: A Value-Based
  Factorization View
Impact of Relational Networks in Multi-Agent Learning: A Value-Based Factorization View
Yasin Findik
Paul Robinette
Kshitij Jerath
S. Ahmadzadeh
62
7
0
19 Oct 2023
Influence of Team Interactions on Multi-Robot Cooperation: A Relational
  Network Perspective
Influence of Team Interactions on Multi-Robot Cooperation: A Relational Network Perspective
Yasin Findik
Hamid Osooli
Paul Robinette
Kshitij Jerath
S. Ahmadzadeh
69
5
0
19 Oct 2023
Collaborative Adaptation: Learning to Recover from Unforeseen
  Malfunctions in Multi-Robot Teams
Collaborative Adaptation: Learning to Recover from Unforeseen Malfunctions in Multi-Robot Teams
Yasin Findik
Paul Robinette
Kshitij Jerath
S. Ahmadzadeh
68
2
0
19 Oct 2023
CAT: Closed-loop Adversarial Training for Safe End-to-End Driving
CAT: Closed-loop Adversarial Training for Safe End-to-End Driving
Linrui Zhang
Zhenghao Peng
Quanyi Li
Bolei Zhou
AAML
95
29
0
19 Oct 2023
MARVEL: Multi-Agent Reinforcement-Learning for Large-Scale Variable
  Speed Limits
MARVEL: Multi-Agent Reinforcement-Learning for Large-Scale Variable Speed Limits
Yuhang Zhang
Marcos Quiñones-Grueiro
Zhiyao Zhang
Yanbing Wang
William Barbour
Gautam Biswas
Dan Work
48
5
0
18 Oct 2023
Fact-based Agent modeling for Multi-Agent Reinforcement Learning
Fact-based Agent modeling for Multi-Agent Reinforcement Learning
Baofu Fang
Caiming Zheng
Hao Wang
OffRL
84
0
0
18 Oct 2023
SOTOPIA: Interactive Evaluation for Social Intelligence in Language
  Agents
SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents
Xuhui Zhou
Hao Zhu
Leena Mathur
Ruohong Zhang
Haofei Yu
...
Louis-Philippe Morency
Yonatan Bisk
Daniel Fried
Graham Neubig
Maarten Sap
LLMAG
95
154
0
18 Oct 2023
Combat Urban Congestion via Collaboration: Heterogeneous GNN-based MARL for Coordinated Platooning and Traffic Signal Control
Combat Urban Congestion via Collaboration: Heterogeneous GNN-based MARL for Coordinated Platooning and Traffic Signal Control
Xianyue Peng
Hang Gao
Hao Wang
Huatian Zhang
H. Michael Zhang
82
1
0
17 Oct 2023
Robust Multi-Agent Reinforcement Learning via Adversarial
  Regularization: Theoretical Foundation and Stable Algorithms
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms
Alexander Bukharin
Yan Li
Yue Yu
Qingru Zhang
Zhehui Chen
Simiao Zuo
Chao Zhang
Songan Zhang
Tuo Zhao
OODAAML
80
19
0
16 Oct 2023
Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like
  Training in a Multi-Agent Network Framework
Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like Training in a Multi-Agent Network Framework
Arshia Soltani Moakhar
Mohammad Azizmalayeri
Hossein Mirzaei
M. T. Manzuri
M. Rohban
82
2
0
15 Oct 2023
Robust Multi-Agent Reinforcement Learning by Mutual Information
  Regularization
Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization
Simin Li
Ruixiao Xu
Jingqiao Xiu
Yuwei Zheng
Pu Feng
Yaodong Yang
Xianglong Liu
81
2
0
15 Oct 2023
Provably Fast Convergence of Independent Natural Policy Gradient for
  Markov Potential Games
Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games
Youbang Sun
Tao-Wen Liu
Ruida Zhou
P. R. Kumar
Shahin Shahrampour
77
13
0
15 Oct 2023
Learning Regularized Monotone Graphon Mean-Field Games
Learning Regularized Monotone Graphon Mean-Field Games
Fengzhuo Zhang
Vincent Y. F. Tan
Zhaoran Wang
Zhuoran Yang
87
8
0
12 Oct 2023
Deep Reinforcement Learning for Autonomous Cyber Operations: A Survey
Deep Reinforcement Learning for Autonomous Cyber Operations: A Survey
Gregory Palmer
Chris Parry
Daniel J.B. Harrold
Chris Willis
AI4CE
90
2
0
11 Oct 2023
Quantifying Agent Interaction in Multi-agent Reinforcement Learning for
  Cost-efficient Generalization
Quantifying Agent Interaction in Multi-agent Reinforcement Learning for Cost-efficient Generalization
Yuxin Chen
Chen Tang
Ran Tian
Chenran Li
Jinning Li
Masayoshi Tomizuka
Wei Zhan
92
3
0
11 Oct 2023
Inverse Factorized Q-Learning for Cooperative Multi-agent Imitation
  Learning
Inverse Factorized Q-Learning for Cooperative Multi-agent Imitation Learning
The Viet Bui
Tien Mai
Thanh Hong Nguyen
53
2
0
10 Oct 2023
Replication of Multi-agent Reinforcement Learning for the "Hide and
  Seek" Problem
Replication of Multi-agent Reinforcement Learning for the "Hide and Seek" Problem
Haider Kamal
M. Niazi
Hammad Afzal
82
0
0
09 Oct 2023
Measuring Acoustics with Collaborative Multiple Agents
Measuring Acoustics with Collaborative Multiple Agents
Yinfeng Yu
Changan Chen
Lele Cao
Fangkai Yang
Gang Hua
82
1
0
09 Oct 2023
FP3O: Enabling Proximal Policy Optimization in Multi-Agent Cooperation
  with Parameter-Sharing Versatility
FP3O: Enabling Proximal Policy Optimization in Multi-Agent Cooperation with Parameter-Sharing Versatility
Lang Feng
Dong Xing
Junru Zhang
Gang Pan
51
1
0
08 Oct 2023
Deep Reinforcement Learning Based Cross-Layer Design in Terahertz Mesh
  Backhaul Networks
Deep Reinforcement Learning Based Cross-Layer Design in Terahertz Mesh Backhaul Networks
Zhifeng Hu
Chong Han
Xudong Wang
63
4
0
08 Oct 2023
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with
  Subgame Curriculum Learning
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning
Jiayu Chen
Zelai Xu
Yunfei Li
Chao Yu
Jiaming Song
Huazhong Yang
Fei Fang
Yu Wang
Yi Wu
70
4
0
07 Oct 2023
Self-Confirming Transformer for Belief-Conditioned Adaptation in Offline Multi-Agent Reinforcement Learning
Self-Confirming Transformer for Belief-Conditioned Adaptation in Offline Multi-Agent Reinforcement Learning
Tao Li
Juan Guevara
Xinghong Xie
Quanyan Zhu
OffRL
69
1
0
06 Oct 2023
Fictitious Cross-Play: Learning Global Nash Equilibrium in Mixed
  Cooperative-Competitive Games
Fictitious Cross-Play: Learning Global Nash Equilibrium in Mixed Cooperative-Competitive Games
Zelai Xu
Yancheng Liang
Chao Yu
Yu Wang
Yi Wu
93
9
0
05 Oct 2023
LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models
LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models
Saaket Agashe
Yue Fan
Anthony Reyna
Xin Eric Wang
LLMAGLRM
164
16
0
05 Oct 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
Homayoun Najjaran
73
12
0
04 Oct 2023
Multi-Agent Reinforcement Learning for Power Grid Topology Optimization
Multi-Agent Reinforcement Learning for Power Grid Topology Optimization
E. V. D. Sar
Alessandro Zocca
Sandjai Bhulai
119
0
0
04 Oct 2023
Avalon's Game of Thoughts: Battle Against Deception through Recursive
  Contemplation
Avalon's Game of Thoughts: Battle Against Deception through Recursive Contemplation
Shenzhi Wang
Chang Liu
Zilong Zheng
Siyuan Qi
Shuo Chen
Qisen Yang
Andrew Zhao
Chaofei Wang
Shiji Song
Gao Huang
LLMAG
120
70
0
02 Oct 2023
COMPOSER: Scalable and Robust Modular Policies for Snake Robots
COMPOSER: Scalable and Robust Modular Policies for Snake Robots
Yuyou Zhang
Yaru Niu
Xingyu Liu
Ding Zhao
67
2
0
02 Oct 2023
DREAM: Decentralized Reinforcement Learning for Exploration and
  Efficient Energy Management in Multi-Robot Systems
DREAM: Decentralized Reinforcement Learning for Exploration and Efficient Energy Management in Multi-Robot Systems
Dipam Patel
Phu-Cuong Pham
Kshitij Tiwari
Judy Hoffman
59
2
0
29 Sep 2023
Robust Offline Reinforcement Learning -- Certify the Confidence Interval
Aayush Mishra
Simon S. Du
OffRL
68
0
0
28 Sep 2023
Multi-Robot Cooperative Socially-Aware Navigation Using Multi-Agent
  Reinforcement Learning
Multi-Robot Cooperative Socially-Aware Navigation Using Multi-Agent Reinforcement Learning
Weizheng Wang
Le Mao
Ruiqi Wang
Byung-Cheol Min
102
14
0
26 Sep 2023
Effective Multi-Agent Deep Reinforcement Learning Control with Relative
  Entropy Regularization
Effective Multi-Agent Deep Reinforcement Learning Control with Relative Entropy Regularization
Chenyang Miao
Yunduan Cui
Huiyun Li
Xin Wu
128
5
0
26 Sep 2023
Stackelberg Driver Model for Continual Policy Improvement in
  Scenario-Based Closed-Loop Autonomous Driving
Stackelberg Driver Model for Continual Policy Improvement in Scenario-Based Closed-Loop Autonomous Driving
Haoyi Niu
Qimao Chen
Yingyue Li
Yi Zhang
Jianming Hu
94
3
0
25 Sep 2023
Boosting Studies of Multi-Agent Reinforcement Learning on Google
  Research Football Environment: the Past, Present, and Future
Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: the Past, Present, and Future
Yan Song
He Jiang
Haifeng Zhang
Zheng Tian
Weinan Zhang
Jun Wang
OffRL
60
8
0
22 Sep 2023
Counterfactual Conservative Q Learning for Offline Multi-agent
  Reinforcement Learning
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning
Jianzhun Shao
Yun Qu
Chen Chen
Hongchang Zhang
Xiangyang Ji
OffRL
87
22
0
22 Sep 2023
Learning to Coordinate with Anyone
Learning to Coordinate with Anyone
Lei Yuan
Lihe Li
Ziqian Zhang
F. Chen
Tianyi Zhang
Cong Guan
Yang Yu
Zhi Zhou
LLMAG
107
5
0
22 Sep 2023
OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control
OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control
Botian Xu
Feng Gao
Chao Yu
Chao Yu
Yi Wu
Yu Wang
110
30
0
22 Sep 2023
Safe Hierarchical Reinforcement Learning for CubeSat Task Scheduling
  Based on Energy Consumption
Safe Hierarchical Reinforcement Learning for CubeSat Task Scheduling Based on Energy Consumption
Mahya Ramezani
M. Alandihallaj
Jose Luis Sanchez-Lopez
A. Hein
20
1
0
21 Sep 2023
Hierarchical Multi-Agent Reinforcement Learning for Air Combat
  Maneuvering
Hierarchical Multi-Agent Reinforcement Learning for Air Combat Maneuvering
Ardian Selmonaj
Oleg Szehr
Giacomo Del Rio
Alessandro Antonucci
Adrian Schneider
Michael Rüegsegger
45
11
0
20 Sep 2023
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