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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 / 546 papers shown
Title
Hokoff: Real Game Dataset from Honor of Kings and its Offline
  Reinforcement Learning Benchmarks
Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks
Yun Qu
Boyuan Wang
Jianzhun Shao
Yuhang Jiang
Chen Chen
...
Qiang Fu
Wei Yang
Guang Yang
Lanxiao Huang
Xiangyang Ji
OffRL
54
9
0
20 Aug 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
ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems
ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems
Yi Zhang
Ruihong Qiu
Jiajun Liu
Sen Wang
OffRL
21
0
0
18 Jul 2024
Simplifying Deep Temporal Difference Learning
Simplifying Deep Temporal Difference Learning
Matteo Gallici
Mattie Fellows
Benjamin Ellis
B. Pou
Ivan Masmitja
Jakob Foerster
Mario Martin
OffRL
62
15
0
05 Jul 2024
Coordination Failure in Cooperative Offline MARL
Coordination Failure in Cooperative Offline MARL
C. Tilbury
Claude Formanek
Louise Beyers
Jonathan P. Shock
Arnu Pretorius
OffRL
38
1
0
01 Jul 2024
Multi-agent Cooperative Games Using Belief Map Assisted Training
Multi-agent Cooperative Games Using Belief Map Assisted Training
Qinwei Huang
Chen Luo
Alex B. Wu
Simon Khan
Hai Helen Li
Qinru Qiu
36
0
0
27 Jun 2024
The Overcooked Generalisation Challenge
The Overcooked Generalisation Challenge
Constantin Ruhdorfer
Matteo Bortoletto
Anna Penzkofer
Andreas Bulling
48
4
0
25 Jun 2024
An Imitative Reinforcement Learning Framework for Autonomous Dogfight
An Imitative Reinforcement Learning Framework for Autonomous Dogfight
Siyuan Li
Rongchang Zuo
Peng Liu
Yingnan Zhao
Yingnan Zhao
43
1
0
17 Jun 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
39
1
0
13 Jun 2024
Carbon Market Simulation with Adaptive Mechanism Design
Carbon Market Simulation with Adaptive Mechanism Design
Han Wang
Wenhao Li
Hongyuan Zha
Baoxiang Wang
27
3
0
12 Jun 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
30
1
0
12 Jun 2024
Inductive Generalization in Reinforcement Learning from Specifications
Inductive Generalization in Reinforcement Learning from Specifications
Vignesh Subramanian
Rohit Kushwah
Subhajit Roy
Suguman Bansal
OffRL
38
0
0
05 Jun 2024
LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning
LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning
Hyungho Na
IL-Chul Moon
43
1
0
30 May 2024
Normative Modules: A Generative Agent Architecture for Learning Norms
  that Supports Multi-Agent Cooperation
Normative Modules: A Generative Agent Architecture for Learning Norms that Supports Multi-Agent Cooperation
Atrisha Sarkar
Andrei Ioan Muresanu
Carter Blair
Aaryam Sharma
Rakshit S Trivedi
Gillian K Hadfield
45
1
0
29 May 2024
Individual Contributions as Intrinsic Exploration Scaffolds for
  Multi-agent Reinforcement Learning
Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning
Xinran Li
Zifan Liu
Shibo Chen
Jun Zhang
37
2
0
28 May 2024
POWQMIX: Weighted Value Factorization with Potentially Optimal Joint Actions Recognition for Cooperative Multi-Agent Reinforcement Learning
POWQMIX: Weighted Value Factorization with Potentially Optimal Joint Actions Recognition for Cooperative Multi-Agent Reinforcement Learning
Chang Huang
Junqiao Zhao
Shatong Zhu
Hongtu Zhou
Chen Ye
T. Feng
Changjun Jiang
28
0
0
13 May 2024
A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement
  Learning
A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning
Zun Li
Michael P. Wellman
34
1
0
30 Apr 2024
Multi-Agent Synchronization Tasks
Multi-Agent Synchronization Tasks
Rolando Fernandez
Garrett A. Warnell
Derrik E. Asher
Peter Stone
30
0
0
29 Apr 2024
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for
  Mobile Edge Computing, its Applications, and Future Research Trajectories
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories
Ning Yang
Shuo Chen
Haijun Zhang
Randall Berry
OffRL
29
6
0
22 Apr 2024
A survey of air combat behavior modeling using machine learning
A survey of air combat behavior modeling using machine learning
Patrick Ribu Gorton
Andreas Strand
K. Brathen
AI4CE
32
8
0
22 Apr 2024
Reducing Redundant Computation in Multi-Agent Coordination through
  Locally Centralized Execution
Reducing Redundant Computation in Multi-Agent Coordination through Locally Centralized Execution
Yidong Bai
Toshiharu Sugawara
OffRL
23
0
0
19 Apr 2024
COMBO: Compositional World Models for Embodied Multi-Agent Cooperation
COMBO: Compositional World Models for Embodied Multi-Agent Cooperation
Hongxin Zhang
Zeyuan Wang
Qiushi Lyu
Zheyuan Zhang
Sunli Chen
Tianmin Shu
Yilun Du
Kwonjoon Lee
Yilun Du
Chuang Gan
48
12
0
16 Apr 2024
Effective Reinforcement Learning Based on Structural Information
  Principles
Effective Reinforcement Learning Based on Structural Information Principles
Xianghua Zeng
Hao Peng
Dingli Su
Angsheng Li
40
0
0
15 Apr 2024
ROMA-iQSS: An Objective Alignment Approach via State-Based Value
  Learning and ROund-Robin Multi-Agent Scheduling
ROMA-iQSS: An Objective Alignment Approach via State-Based Value Learning and ROund-Robin Multi-Agent Scheduling
Chi-Hui Lin
Joewie J. Koh
A. Roncone
Lijun Chen
34
0
0
05 Apr 2024
Heterogeneous Multi-Agent Reinforcement Learning for Zero-Shot Scalable
  Collaboration
Heterogeneous Multi-Agent Reinforcement Learning for Zero-Shot Scalable Collaboration
Xudong Guo
Daming Shi
Junjie Yu
Wenhui Fan
38
4
0
05 Apr 2024
Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks
Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks
Xingran Chen
Navid Naderializadeh
Alejandro Ribeiro
Shirin Saeedi Bidokhti
93
1
0
04 Apr 2024
Task-priority Intermediated Hierarchical Distributed Policies:
  Reinforcement Learning of Adaptive Multi-robot Cooperative Transport
Task-priority Intermediated Hierarchical Distributed Policies: Reinforcement Learning of Adaptive Multi-robot Cooperative Transport
Yusei Naito
Tomohiko Jimbo
Tadashi Odashima
Takamitsu Matsubara
36
1
0
02 Apr 2024
Network-Assisted Full-Duplex Cell-Free mmWave Networks: Hybrid MIMO
  Processing and Multi-Agent DRL-Based Power Allocation
Network-Assisted Full-Duplex Cell-Free mmWave Networks: Hybrid MIMO Processing and Multi-Agent DRL-Based Power Allocation
Q. Fan
Yu Zhang
Jiamin Li
Dongmin Wang
Hongbiao Zhang
Xiaohu You
16
1
0
31 Mar 2024
MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification
MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification
Yiqun Chen
Jiaxin Mao
Yi Zhang
Dehong Ma
Long Xia
Jun Fan
Daiting Shi
Zhicong Cheng
Simiu Gu
Dawei Yin
21
2
0
26 Mar 2024
MQE: Unleashing the Power of Interaction with Multi-agent Quadruped
  Environment
MQE: Unleashing the Power of Interaction with Multi-agent Quadruped Environment
Ziyan Xiong
Bo Chen
Shiyu Huang
Weijuan Tu
Zhaofeng He
Yang Gao
37
4
0
24 Mar 2024
Independent RL for Cooperative-Competitive Agents: A Mean-Field Perspective
Independent RL for Cooperative-Competitive Agents: A Mean-Field Perspective
Muhammad Aneeq uz Zaman
Alec Koppel
Mathieu Laurière
Tamer Basar
39
3
0
17 Mar 2024
Scaling Team Coordination on Graphs with Reinforcement Learning
Scaling Team Coordination on Graphs with Reinforcement Learning
Manshi Limbu
Zechen Hu
Xuan Wang
Daigo Shishika
Xuesu Xiao
26
4
0
09 Mar 2024
Population-aware Online Mirror Descent for Mean-Field Games by Deep
  Reinforcement Learning
Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning
Zida Wu
Mathieu Lauriere
Samuel Jia Cong Chua
M. Geist
Olivier Pietquin
Ankur M. Mehta
34
5
0
06 Mar 2024
SMAUG: A Sliding Multidimensional Task Window-Based MARL Framework for
  Adaptive Real-Time Subtask Recognition
SMAUG: A Sliding Multidimensional Task Window-Based MARL Framework for Adaptive Real-Time Subtask Recognition
Wenjing Zhang
Wei Zhang
47
0
0
04 Mar 2024
Understanding Iterative Combinatorial Auction Designs via Multi-Agent
  Reinforcement Learning
Understanding Iterative Combinatorial Auction Designs via Multi-Agent Reinforcement Learning
G. dÉon
N. Newman
Kevin Leyton-Brown
32
0
0
29 Feb 2024
Combinatorial Client-Master Multiagent Deep Reinforcement Learning for
  Task Offloading in Mobile Edge Computing
Combinatorial Client-Master Multiagent Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing
Zemuy Tesfay Gebrekidan
Sebastian Stein
Timothy J. Norman
21
4
0
18 Feb 2024
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
24
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
32
9
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
30
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
11
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
27
3
0
14 Dec 2023
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
Matteo Bettini
Amanda Prorok
Vincent Moens
OffRL
34
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
18
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
26
1
0
24 Nov 2023
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