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

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
ArXivPDFHTML

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

50 / 633 papers shown
Title
Symmetry-Breaking Augmentations for Ad Hoc Teamwork
Symmetry-Breaking Augmentations for Ad Hoc Teamwork
Ravi Hammond
Dustin Craggs
Mingyu Guo
Jakob Foerster
Ian Reid
29
1
0
15 Feb 2024
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty
  Sharing
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing
Haobin Jiang
Ziluo Ding
Zongqing Lu
26
2
0
03 Feb 2024
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning
Xin Yu
Rongye Shi
Pu Feng
Yongkai Tian
Simin Li
Shuhao Liao
Wenjun Wu
40
9
0
30 Dec 2023
Contrastive learning-based agent modeling for deep reinforcement
  learning
Contrastive learning-based agent modeling for deep reinforcement learning
Wenhao Ma
Yu-Cheng Chang
Jie Yang
Yu-Kai Wang
Chin-Teng Lin
OffRL
32
0
0
30 Dec 2023
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems
Eduardo Sebastián
T. Duong
Nikolay Atanasov
Eduardo Montijano
C. Sagüés
31
3
0
30 Dec 2023
Adaptive trajectory-constrained exploration strategy for deep
  reinforcement learning
Adaptive trajectory-constrained exploration strategy for deep reinforcement learning
Guojian Wang
Faguo Wu
Xiao Zhang
Ning Guo
Zhiming Zheng
41
3
0
27 Dec 2023
Multi-Agent Probabilistic Ensembles with Trajectory Sampling for
  Connected Autonomous Vehicles
Multi-Agent Probabilistic Ensembles with Trajectory Sampling for Connected Autonomous Vehicles
Ruoqi Wen
Jiahao Huang
Rongpeng Li
Guoru Ding
Zhifeng Zhao
37
1
0
21 Dec 2023
Multi-agent reinforcement learning using echo-state network and its
  application to pedestrian dynamics
Multi-agent reinforcement learning using echo-state network and its application to pedestrian dynamics
Hisato Komatsu
16
1
0
19 Dec 2023
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
26
10
0
18 Dec 2023
Multi-agent Reinforcement Learning: A Comprehensive Survey
Multi-agent Reinforcement Learning: A Comprehensive Survey
Dom Huh
Prasant Mohapatra
AI4CE
36
8
0
15 Dec 2023
Situation-Dependent Causal Influence-Based Cooperative Multi-agent
  Reinforcement Learning
Situation-Dependent Causal Influence-Based Cooperative Multi-agent Reinforcement Learning
Xiao Du
Yutong Ye
Peng Zhang
Yaning Yang
Mingsong Chen
Ting Wang
35
4
0
15 Dec 2023
Adaptive parameter sharing for multi-agent reinforcement learning
Adaptive parameter sharing for multi-agent reinforcement learning
Dapeng Li
Na Lou
Bin Zhang
Zhiwei Xu
Guoliang Fan
32
3
0
14 Dec 2023
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
Matteo Bettini
Amanda Prorok
Vincent Moens
OffRL
47
15
0
03 Dec 2023
Learning to Cooperate and Communicate Over Imperfect Channels
Learning to Cooperate and Communicate Over Imperfect Channels
Jannis Weil
Gizem Ekinci
Heinz Koeppl
Tobias Meuser
23
0
0
24 Nov 2023
Directly Attention Loss Adjusted Prioritized Experience Replay
Directly Attention Loss Adjusted Prioritized Experience Replay
Zhuoying Chen
Huiping Li
Zhaoxu Wang
28
1
0
24 Nov 2023
Multi-Timescale Control and Communications with Deep Reinforcement
  Learning -- Part I: Communication-Aware Vehicle Control
Multi-Timescale Control and Communications with Deep Reinforcement Learning -- Part I: Communication-Aware Vehicle Control
Tong Liu
Lei Lei
Kan Zheng
Xuemin
X. Shen
38
6
0
19 Nov 2023
Short vs. Long-term Coordination of Drones: When Distributed
  Optimization Meets Deep Reinforcement Learning
Short vs. Long-term Coordination of Drones: When Distributed Optimization Meets Deep Reinforcement Learning
Chuhao Qin
Evangelos Pournaras
40
1
0
16 Nov 2023
Learning Independently from Causality in Multi-Agent Environments
Learning Independently from Causality in Multi-Agent Environments
Rafael Pina
V. D. Silva
Corentin Artaud
LRM
19
0
0
05 Nov 2023
Selectively Sharing Experiences Improves Multi-Agent Reinforcement
  Learning
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning
M. Gerstgrasser
Tom Danino
Sarah Keren
29
5
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
26
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
28
2
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
34
11
0
26 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
38
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
34
2
0
19 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
44
1
0
17 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
31
2
0
15 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 Wang
LLMAG
LRM
102
10
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
H. Najjaran
35
11
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
32
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
37
66
0
02 Oct 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
24
5
0
26 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
36
28
0
22 Sep 2023
Recent Progress in Energy Management of Connected Hybrid Electric
  Vehicles Using Reinforcement Learning
Recent Progress in Energy Management of Connected Hybrid Electric Vehicles Using Reinforcement Learning
Mingya Hua
Bin Shuai
Quan Zhou
Jinhai Wang
Yinglong He
Hongming Xu
44
2
0
28 Aug 2023
Policy Diversity for Cooperative Agents
Policy Diversity for Cooperative Agents
M. Tan
Andong Tian
Ludovic Denoyer
32
2
0
28 Aug 2023
MARL for Decentralized Electric Vehicle Charging Coordination with V2V
  Energy Exchange
MARL for Decentralized Electric Vehicle Charging Coordination with V2V Energy Exchange
Jiarong Fan
Hao Wang
Ariel Liebman
21
2
0
27 Aug 2023
Learning Cyber Defence Tactics from Scratch with Multi-Agent
  Reinforcement Learning
Learning Cyber Defence Tactics from Scratch with Multi-Agent Reinforcement Learning
Jacob Wiebe
Ranwa Al Mallah
Li Li
AAML
36
3
0
25 Aug 2023
FoX: Formation-aware exploration in multi-agent reinforcement learning
FoX: Formation-aware exploration in multi-agent reinforcement learning
Yonghyeon Jo
Sunwoo Lee
Junghyuk Yum
Seungyul Han
35
5
0
22 Aug 2023
Collaborative Route Planning of UAVs, Workers and Cars for Crowdsensing
  in Disaster Response
Collaborative Route Planning of UAVs, Workers and Cars for Crowdsensing in Disaster Response
Lei Han
Chunyu Tu
Zhiwen Yu
Zhiyong Yu
Weihua Shan
Liang Wang
Bin Guo
14
2
0
21 Aug 2023
CoMIX: A Multi-agent Reinforcement Learning Training Architecture for
  Efficient Decentralized Coordination and Independent Decision-Making
CoMIX: A Multi-agent Reinforcement Learning Training Architecture for Efficient Decentralized Coordination and Independent Decision-Making
Giovanni Minelli
Mirco Musolesi
33
0
0
21 Aug 2023
Heterogeneous Multi-Agent Reinforcement Learning via Mirror Descent
  Policy Optimization
Heterogeneous Multi-Agent Reinforcement Learning via Mirror Descent Policy Optimization
Mohammad Mehdi Nasiri
M. Rezghi
38
0
0
13 Aug 2023
View while Moving: Efficient Video Recognition in Long-untrimmed Videos
View while Moving: Efficient Video Recognition in Long-untrimmed Videos
Ye Tian
Meng Yang
Lanshan Zhang
Zhizhen Zhang
Yang Liu
Xiao-Zhu Xie
Xirong Que
Wendong Wang
24
7
0
09 Aug 2023
RGMComm: Return Gap Minimization via Discrete Communications in
  Multi-Agent Reinforcement Learning
RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning
Jingdi Chen
Tian-Shing Lan
Carlee Joe-Wong
17
15
0
07 Aug 2023
MatrixWorld: A pursuit-evasion platform for safe multi-agent
  coordination and autocurricula
MatrixWorld: A pursuit-evasion platform for safe multi-agent coordination and autocurricula
Lijun Sun
Yu-Cheng Chang
Chao Lyu
Chin-Teng Lin
Yuhui Shi
38
1
0
27 Jul 2023
Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local
  Value Regularization
Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization
Xiangsen Wang
Haoran Xu
Yinan Zheng
Xianyuan Zhan
OffRL
33
23
0
21 Jul 2023
Meta-Value Learning: a General Framework for Learning with Learning
  Awareness
Meta-Value Learning: a General Framework for Learning with Learning Awareness
Tim Cooijmans
Milad Aghajohari
Rameswar Panda
27
6
0
17 Jul 2023
Bayesian inference for data-efficient, explainable, and safe robotic
  motion planning: A review
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review
Chengmin Zhou
Chao Wang
Haseeb Hassan
H. Shah
Bingding Huang
Pasi Fränti
3DV
38
3
0
16 Jul 2023
Multi-Agent Cooperation via Unsupervised Learning of Joint Intentions
Multi-Agent Cooperation via Unsupervised Learning of Joint Intentions
Shanqi Liu
Weiwei Liu
Wenzhou Chen
Guanzhong Tian
Y. Liu
35
0
0
05 Jul 2023
Building Cooperative Embodied Agents Modularly with Large Language Models
Building Cooperative Embodied Agents Modularly with Large Language Models
Hongxin Zhang
Weihua Du
Jiaming Shan
Qinhong Zhou
Yilun Du
J. Tenenbaum
Tianmin Shu
Chuang Gan
LLMAG
LM&Ro
59
158
0
05 Jul 2023
Beyond Conservatism: Diffusion Policies in Offline Multi-agent
  Reinforcement Learning
Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning
Zhuoran Li
Ling Pan
Longbo Huang
DiffM
OffRL
23
7
0
04 Jul 2023
Enhancing the Robustness of QMIX against State-adversarial Attacks
Enhancing the Robustness of QMIX against State-adversarial Attacks
Weiran Guo
Guanjun Liu
Ziyuan Zhou
Ling Wang
Jiacun Wang
AAML
32
7
0
03 Jul 2023
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