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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
Reinforcement Learning Algorithms: An Overview and Classification
Reinforcement Learning Algorithms: An Overview and Classification
Fadi AlMahamid
Katarina Grolinger
39
45
0
29 Sep 2022
Pareto Actor-Critic for Equilibrium Selection in Multi-Agent
  Reinforcement Learning
Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning
Filippos Christianos
Georgios Papoudakis
Stefano V. Albrecht
99
4
0
28 Sep 2022
MultiRoboLearn: An open-source Framework for Multi-robot Deep
  Reinforcement Learning
MultiRoboLearn: An open-source Framework for Multi-robot Deep Reinforcement Learning
Junfeng Chen
Fuqin Deng
Yuan Gao
Junjie Hu
Xiyue Guo
Guanqi Liang
Tin Lun Lam
68
7
0
28 Sep 2022
Multi-Agent Sequential Decision-Making via Communication
Multi-Agent Sequential Decision-Making via Communication
Ziluo Ding
Kefan Su
Wei-xing Hong
Liwen Zhu
Tiejun Huang
Zongqing Lu
40
1
0
26 Sep 2022
More Centralized Training, Still Decentralized Execution: Multi-Agent
  Conditional Policy Factorization
More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization
Jiangxing Wang
Deheng Ye
Zongqing Lu
OffRL
100
19
0
26 Sep 2022
MARLUI: Multi-Agent Reinforcement Learning for Adaptive UIs
MARLUI: Multi-Agent Reinforcement Learning for Adaptive UIs
T. Langerak
Sammy Christen
Mert Albaba
Christoph Gebhardt
Otmar Hilliges
OffRL
71
0
0
26 Sep 2022
Towards a Standardised Performance Evaluation Protocol for Cooperative
  MARL
Towards a Standardised Performance Evaluation Protocol for Cooperative MARL
R. Gorsane
Omayma Mahjoub
Ruan de Kock
Roland Dubb
Siddarth S. Singh
Arnu Pretorius
OffRL
89
50
0
21 Sep 2022
Relational Reasoning via Set Transformers: Provable Efficiency and
  Applications to MARL
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL
Fengzhuo Zhang
Boyi Liu
Kaixin Wang
Vincent Y. F. Tan
Zhuoran Yang
Zhaoran Wang
OffRLLRM
102
10
0
20 Sep 2022
Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning
Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning
Yuchen Xiao
Weihao Tan
Chris Amato
OffRL
127
20
0
20 Sep 2022
Sample-Efficient Multi-Agent Reinforcement Learning with Demonstrations
  for Flocking Control
Sample-Efficient Multi-Agent Reinforcement Learning with Demonstrations for Flocking Control
Yunbo Qiu
Yuzhu Zhan
Yue Jin
Jian Wang
Xudong Zhang
78
6
0
17 Sep 2022
Sub-optimal Policy Aided Multi-Agent Reinforcement Learning for Flocking
  Control
Sub-optimal Policy Aided Multi-Agent Reinforcement Learning for Flocking Control
Yunbo Qiu
Yue Jin
Jian Wang
Xudong Zhang
80
1
0
17 Sep 2022
MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent
  Reinforcement Learning
MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent Reinforcement Learning
Kefan Su
Siyuan Zhou
Jiechuan Jiang
Chuang Gan
Xiangjun Wang
Zongqing Lu
OffRL
92
6
0
17 Sep 2022
A Robust and Constrained Multi-Agent Reinforcement Learning Electric
  Vehicle Rebalancing Method in AMoD Systems
A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems
Sihong He
Yue Wang
Shuo Han
Shaofeng Zou
Fei Miao
68
12
0
17 Sep 2022
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees
Zichuan Liu
Zichuan Liu
Zhi Wang
Yuanyang Zhu
Chunlin Chen
246
7
0
15 Sep 2022
Cooperation and Competition: Flocking with Evolutionary Multi-Agent Reinforcement Learning
Yunxiao Guo
Xinjia Xie
Runhao Zhao
Chenglan Zhu
Jiangting Yin
Han Long
56
3
0
10 Sep 2022
Joint Caching and Transmission in the Mobile Edge Network: A Multi-Agent
  Learning Approach
Joint Caching and Transmission in the Mobile Edge Network: A Multi-Agent Learning Approach
Qirui Mi
Ning Yang
Haifeng Zhang
Haijun Zhang
Jun Wang
59
4
0
09 Sep 2022
A Survey on Large-Population Systems and Scalable Multi-Agent
  Reinforcement Learning
A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning
Kai Cui
Anam Tahir
Gizem Ekinci
Ahmed Elshamanhory
Yannick Eich
Mengguang Li
Heinz Koeppl
AI4CE
168
15
0
08 Sep 2022
Energy Management of Multi-mode Hybrid Electric Vehicles based on
  Hand-shaking Multi-agent Learning
Energy Management of Multi-mode Hybrid Electric Vehicles based on Hand-shaking Multi-agent Learning
Mingya Hua
Zhi Li
Quan Zhou
64
2
0
06 Sep 2022
A New Approach to Training Multiple Cooperative Agents for Autonomous
  Driving
A New Approach to Training Multiple Cooperative Agents for Autonomous Driving
Ruiyang Yang
Siheng Li
Beihong Jin
48
0
0
05 Sep 2022
A further exploration of deep Multi-Agent Reinforcement Learning with
  Hybrid Action Space
A further exploration of deep Multi-Agent Reinforcement Learning with Hybrid Action Space
Hongzhi Hua
Guixuan Wen
Kaigui Wu
36
1
0
30 Aug 2022
Decentralized Coordination in Partially Observable Queueing Networks
Decentralized Coordination in Partially Observable Queueing Networks
Jiekai Jia
Anam Tahir
Heinz Koeppl
81
1
0
29 Aug 2022
Battery and Hydrogen Energy Storage Control in a Smart Energy Network
  with Flexible Energy Demand using Deep Reinforcement Learning
Battery and Hydrogen Energy Storage Control in a Smart Energy Network with Flexible Energy Demand using Deep Reinforcement Learning
Cephas Samende
Zhongbo Fan
Jun Cao
23
13
0
26 Aug 2022
CH-MARL: A Multimodal Benchmark for Cooperative, Heterogeneous
  Multi-Agent Reinforcement Learning
CH-MARL: A Multimodal Benchmark for Cooperative, Heterogeneous Multi-Agent Reinforcement Learning
Vasu Sharma
Prasoon Goyal
Kaixiang Lin
Govind Thattai
Qiaozi Gao
Gaurav Sukhatme
33
6
0
26 Aug 2022
Autonomous Unmanned Aerial Vehicle Navigation using Reinforcement
  Learning: A Systematic Review
Autonomous Unmanned Aerial Vehicle Navigation using Reinforcement Learning: A Systematic Review
Fadi AlMahamid
Katarina Grolinger
63
76
0
25 Aug 2022
Entropy Enhanced Multi-Agent Coordination Based on Hierarchical Graph
  Learning for Continuous Action Space
Entropy Enhanced Multi-Agent Coordination Based on Hierarchical Graph Learning for Continuous Action Space
Yining Chen
Ke Wang
Guang-hua Song
Xiaohong Jiang
56
3
0
23 Aug 2022
Exploring Task-oriented Communication in Multi-agent System: A Deep
  Reinforcement Learning Approach
Exploring Task-oriented Communication in Multi-agent System: A Deep Reinforcement Learning Approach
Guojun He
53
0
0
22 Aug 2022
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations
  Among Team Members
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members
Daphne Cornelisse
Thomas Rood
Mateusz Malinowski
Yoram Bachrach
Tal Kachman
60
10
0
18 Aug 2022
A Policy Resonance Approach to Solve the Problem of Responsibility
  Diffusion in Multiagent Reinforcement Learning
A Policy Resonance Approach to Solve the Problem of Responsibility Diffusion in Multiagent Reinforcement Learning
Qing Fu
Tenghai Qiu
Jianqiang Yi
Zhiqiang Pu
Xiaolin Ai
Wanmai Yuan
128
1
0
16 Aug 2022
Diversifying Message Aggregation in Multi-Agent Communication via
  Normalized Tensor Nuclear Norm Regularization
Diversifying Message Aggregation in Multi-Agent Communication via Normalized Tensor Nuclear Norm Regularization
Yuanzhao Zhai
Kele Xu
Bo Ding
Dawei Feng
Zijian Gao
Huaimin Wang
61
0
0
10 Aug 2022
Reducing Exploitability with Population Based Training
Reducing Exploitability with Population Based Training
Pavel Czempin
Adam Gleave
AAML
82
6
0
10 Aug 2022
Ad Hoc Teamwork in the Presence of Adversaries
Ad Hoc Teamwork in the Presence of Adversaries
Ted Fujimoto
Samrat Chatterjee
A. Ganguly
83
3
0
09 Aug 2022
Maximum Correntropy Value Decomposition for Multi-agent Deep
  Reinforcemen Learning
Maximum Correntropy Value Decomposition for Multi-agent Deep Reinforcemen Learning
Kai Liu
Tianxian Zhang
L. Kong
78
0
0
07 Aug 2022
Learning to Coordinate for a Worker-Station Multi-robot System in Planar
  Coverage Tasks
Learning to Coordinate for a Worker-Station Multi-robot System in Planar Coverage Tasks
Jing Tang
Yuan Gao
Tin Lun Lam
104
7
0
05 Aug 2022
Transferable Multi-Agent Reinforcement Learning with Dynamic
  Participating Agents
Transferable Multi-Agent Reinforcement Learning with Dynamic Participating Agents
Xuting Tang
Jia Xu
Shusen Wang
51
1
0
04 Aug 2022
Deep Reinforcement Learning for Multi-Agent Interaction
Deep Reinforcement Learning for Multi-Agent Interaction
I. Ahmed
Cillian Brewitt
Ignacio Carlucho
Filippos Christianos
Mhairi Dunion
...
Lukas Schafer
Massimiliano Tamborski
Giuseppe Vecchio
Cheng Wang
Stefano V. Albrecht
DRLAI4CE
53
11
0
02 Aug 2022
Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to
  Cooperative MARL
Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL
J. Kuba
Xidong Feng
Shiyao Ding
Hao Dong
Jun Wang
Yaodong Yang
79
21
0
02 Aug 2022
A Model for Multi-Agent Heterogeneous Interaction Problems
A Model for Multi-Agent Heterogeneous Interaction Problems
Christopher D. Hsu
Mulugeta Haile
Pratik Chaudhari
AAML
70
0
0
02 Aug 2022
Cooperative Actor-Critic via TD Error Aggregation
Cooperative Actor-Critic via TD Error Aggregation
Martin Figura
Yixuan Lin
Ji Liu
V. Gupta
63
1
0
25 Jul 2022
Actor-Critic based Improper Reinforcement Learning
Actor-Critic based Improper Reinforcement Learning
Mohammadi Zaki
Avinash Mohan
Aditya Gopalan
Shie Mannor
84
3
0
19 Jul 2022
A Deep Reinforcement Learning Approach for Finding Non-Exploitable
  Strategies in Two-Player Atari Games
A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari Games
Zihan Ding
DiJia Su
Qinghua Liu
Chi Jin
86
3
0
18 Jul 2022
Stochastic Market Games
Stochastic Market Games
Kyrill Schmid
Lenz Belzner
Robert Muller
Johannes Tochtermann
Claudia Linnhoff-Popien
47
5
0
15 Jul 2022
Scalable Model-based Policy Optimization for Decentralized Networked
  Systems
Scalable Model-based Policy Optimization for Decentralized Networked Systems
Yali Du
Chengdong Ma
Yuchen Liu
Runji Lin
Hao Dong
Jun Wang
Yaodong Yang
85
10
0
13 Jul 2022
Reward-Sharing Relational Networks in Multi-Agent Reinforcement Learning
  as a Framework for Emergent Behavior
Reward-Sharing Relational Networks in Multi-Agent Reinforcement Learning as a Framework for Emergent Behavior
H. Haeri
Reza Ahmadzadeh
Kshitij Jerath
59
10
0
12 Jul 2022
Towards Global Optimality in Cooperative MARL with the Transformation
  And Distillation Framework
Towards Global Optimality in Cooperative MARL with the Transformation And Distillation Framework
Jianing Ye
Chenghao Li
Jianhao Wang
Chongjie Zhang
89
4
0
12 Jul 2022
Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning
Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning
Shunyu Liu
Mingli Song
Yihe Zhou
Na Yu
Kaixuan Chen
Zunlei Feng
Mingli Song
58
10
0
08 Jul 2022
VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning
VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning
Matteo Bettini
Ryan Kortvelesy
J. Blumenkamp
Amanda Prorok
76
41
0
07 Jul 2022
Learning Task Embeddings for Teamwork Adaptation in Multi-Agent
  Reinforcement Learning
Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning
Lukas Schafer
Filippos Christianos
Amos Storkey
Stefano V. Albrecht
51
7
0
05 Jul 2022
The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks
  and Environmental Factors without Precise Reward Functions
The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions
Mingyu Kim
Ji-Yun Oh
Yongsik Lee
Joonkee Kim
S. Kim
Song Chong
Se-Young Yun
74
2
0
05 Jul 2022
Distributed Influence-Augmented Local Simulators for Parallel MARL in
  Large Networked Systems
Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems
Miguel Suau
Jinke He
Mustafa Mert cCelikok
M. Spaan
F. Oliehoek
80
1
0
01 Jul 2022
Towards Human-Agent Communication via the Information Bottleneck
  Principle
Towards Human-Agent Communication via the Information Bottleneck Principle
Mycal Tucker
J. Shah
R. Levy
Noga Zaslavsky
84
14
0
30 Jun 2022
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