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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
Resource-Aware Adaptation of Heterogeneous Strategies for Coalition
  Formation
Resource-Aware Adaptation of Heterogeneous Strategies for Coalition Formation
Anusha Srikanthan
Harish Ravichandar
34
1
0
05 Aug 2021
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network
  Approach
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach
Haotian Gu
Xin Guo
Xiaoli Wei
Renyuan Xu
OOD
103
36
0
05 Aug 2021
Model-Based Opponent Modeling
Model-Based Opponent Modeling
Xiaopeng Yu
Jiechuan Jiang
Wanpeng Zhang
Haobin Jiang
Zongqing Lu
OffRL
109
29
0
04 Aug 2021
Offline Decentralized Multi-Agent Reinforcement Learning
Offline Decentralized Multi-Agent Reinforcement Learning
Jiechuan Jiang
Zongqing Lu
OffRL
91
39
0
04 Aug 2021
Emergent Discrete Communication in Semantic Spaces
Emergent Discrete Communication in Semantic Spaces
Mycal Tucker
Huao Li
Siddharth Agrawal
Dana Hughes
Katia Sycara
Michael Lewis
J. Shah
54
29
0
04 Aug 2021
Risk Adversarial Learning System for Connected and Autonomous Vehicle
  Charging
Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging
M. S. Munir
Ki Tae Kim
K. Thar
Dusit Niyato
Choong Seon Hong
47
5
0
02 Aug 2021
Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing
  Centralized Training
Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training
P. Sharma
Rolando Fernandez
Erin G. Zaroukian
M. Dorothy
Anjon Basak
Derrik E. Asher
72
42
0
29 Jul 2021
Open-Ended Learning Leads to Generally Capable Agents
Open-Ended Learning Leads to Generally Capable Agents
Open-Ended Learning Team
Adam Stooke
Anuj Mahajan
Catarina Barros
Charlie Deck
...
Nicolas Porcel
Roberta Raileanu
Steph Hughes-Fitt
Valentin Dalibard
Wojciech M. Czarnecki
137
190
0
27 Jul 2021
Asynchronous Distributed Reinforcement Learning for LQR Control via
  Zeroth-Order Block Coordinate Descent
Asynchronous Distributed Reinforcement Learning for LQR Control via Zeroth-Order Block Coordinate Descent
Gangshan Jing
H. Bai
Jemin George
A. Chakrabortty
P. Sharma
100
9
0
26 Jul 2021
The Holy Grail of Multi-Robot Planning: Learning to Generate
  Online-Scalable Solutions from Offline-Optimal Experts
The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts
Amanda Prorok
J. Blumenkamp
Qingbiao Li
Ryan Kortvelesy
Yanfeng Guo
Ethan Stump
OffRL
67
5
0
26 Jul 2021
Transferable Dialogue Systems and User Simulators
Transferable Dialogue Systems and User Simulators
Bo-Hsiang Tseng
Yinpei Dai
Florian Kreyssig
Bill Byrne
96
54
0
25 Jul 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
Iou-Jen Liu
Unnat Jain
Raymond A. Yeh
Alex Schwing
107
104
0
23 Jul 2021
Trajectory Design for UAV-Based Internet-of-Things Data Collection: A
  Deep Reinforcement Learning Approach
Trajectory Design for UAV-Based Internet-of-Things Data Collection: A Deep Reinforcement Learning Approach
Yang Wang
Zhen Gao
Jun Zhang
Xianbin Cao
Dezhi Zheng
Yue Gao
Derrick Wing Kwan Ng
M. Di Renzo
72
100
0
23 Jul 2021
Accelerating Quadratic Optimization with Reinforcement Learning
Accelerating Quadratic Optimization with Reinforcement Learning
Jeffrey Ichnowski
Paras Jain
Bartolomeo Stellato
G. Banjac
Michael Luo
Francesco Borrelli
Joseph E. Gonzalez
Ion Stoica
Ken Goldberg
OffRL
85
36
0
22 Jul 2021
Learning Altruistic Behaviours in Reinforcement Learning without
  External Rewards
Learning Altruistic Behaviours in Reinforcement Learning without External Rewards
Tim Franzmeyer
Mateusz Malinowski
João F. Henriques
67
8
0
20 Jul 2021
Decentralized Multi-Agent Reinforcement Learning for Task Offloading
  Under Uncertainty
Decentralized Multi-Agent Reinforcement Learning for Task Offloading Under Uncertainty
Yuanchao Xu
Amal Feriani
Ekram Hossain
OffRL
57
4
0
16 Jul 2021
Visual Adversarial Imitation Learning using Variational Models
Visual Adversarial Imitation Learning using Variational Models
Rafael Rafailov
Tianhe Yu
Aravind Rajeswaran
Chelsea Finn
SSL
116
50
0
16 Jul 2021
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting
  Pot
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
Joel Z Leibo
Edgar A. Duénez-Guzmán
A. Vezhnevets
J. Agapiou
P. Sunehag
Raphael Köster
Jayd Matyas
Charlie Beattie
Igor Mordatch
T. Graepel
OffRL
93
111
0
14 Jul 2021
Mixing Human Demonstrations with Self-Exploration in Experience Replay
  for Deep Reinforcement Learning
Mixing Human Demonstrations with Self-Exploration in Experience Replay for Deep Reinforcement Learning
Dylan Klein
Akansel Cosgun
70
0
0
14 Jul 2021
Centralized Model and Exploration Policy for Multi-Agent RL
Centralized Model and Exploration Policy for Multi-Agent RL
Qizhen Zhang
Chris Xiaoxuan Lu
Animesh Garg
Jakob N. Foerster
72
15
0
14 Jul 2021
A Deep Reinforcement Learning Approach for Traffic Signal Control
  Optimization
A Deep Reinforcement Learning Approach for Traffic Signal Control Optimization
Zhenning Li
Chengzhong Xu
Guohui Zhang
30
6
0
13 Jul 2021
Altruistic Maneuver Planning for Cooperative Autonomous Vehicles Using
  Multi-agent Advantage Actor-Critic
Altruistic Maneuver Planning for Cooperative Autonomous Vehicles Using Multi-agent Advantage Actor-Critic
Behrad Toghi
Rodolfo Valiente
Dorsa Sadigh
Ramtin Pedarsani
Y. P. Fallah
86
28
0
12 Jul 2021
Intelligent Link Adaptation for Grant-Free Access Cellular Networks: A
  Distributed Deep Reinforcement Learning Approach
Intelligent Link Adaptation for Grant-Free Access Cellular Networks: A Distributed Deep Reinforcement Learning Approach
Joao V. C. Evangelista
Zeeshan Sattar
Georges Kaddoum
Bassant Selim
Aydin Sarraf
32
2
0
08 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real
  world: aligning domain-agnostic and domain-specific research
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research
J. Luis
E. Crawley
B. Cameron
OffRL
77
6
0
07 Jul 2021
Restless and Uncertain: Robust Policies for Restless Bandits via Deep
  Multi-Agent Reinforcement Learning
Restless and Uncertain: Robust Policies for Restless Bandits via Deep Multi-Agent Reinforcement Learning
J. Killian
Lily Xu
Arpita Biswas
Milind Tambe
63
6
0
04 Jul 2021
Collaborative Visual Navigation
Collaborative Visual Navigation
Haiyang Wang
Wenguan Wang
Xizhou Zhu
Jifeng Dai
Liwei Wang
EgoV
100
20
0
02 Jul 2021
SA-MATD3:Self-attention-based multi-agent continuous control method in
  cooperative environments
SA-MATD3:Self-attention-based multi-agent continuous control method in cooperative environments
Kai Liu
Yuyang Zhao
Gang Wang
Bei Peng
35
22
0
01 Jul 2021
Social Coordination and Altruism in Autonomous Driving
Social Coordination and Altruism in Autonomous Driving
Behrad Toghi
Rodolfo Valiente
Dorsa Sadigh
Ramtin Pedarsani
Y. P. Fallah
90
69
0
01 Jul 2021
Deep Multiagent Reinforcement Learning: Challenges and Directions
Deep Multiagent Reinforcement Learning: Challenges and Directions
Annie Wong
Thomas Bäck
Anna V. Kononova
Aske Plaat
AI4CE
116
98
0
29 Jun 2021
Policy Regularization via Noisy Advantage Values for Cooperative
  Multi-agent Actor-Critic methods
Policy Regularization via Noisy Advantage Values for Cooperative Multi-agent Actor-Critic methods
Jian Hu
Siyue Hu
Shih-Wei Liao
118
15
0
27 Jun 2021
Compositional Reinforcement Learning from Logical Specifications
Compositional Reinforcement Learning from Logical Specifications
Kishor Jothimurugan
Suguman Bansal
Osbert Bastani
Rajeev Alur
CoGe
135
81
0
25 Jun 2021
MMD-MIX: Value Function Factorisation with Maximum Mean Discrepancy for
  Cooperative Multi-Agent Reinforcement Learning
MMD-MIX: Value Function Factorisation with Maximum Mean Discrepancy for Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu
Dapeng Li
Yunpeng Bai
Guoliang Fan
34
11
0
22 Jun 2021
Distributed Heuristic Multi-Agent Path Finding with Communication
Distributed Heuristic Multi-Agent Path Finding with Communication
Ziyuan Ma
Yudong Luo
Hang Ma
82
72
0
21 Jun 2021
Cogment: Open Source Framework For Distributed Multi-actor Training,
  Deployment & Operations
Cogment: Open Source Framework For Distributed Multi-actor Training, Deployment & Operations
AI Redefined
S. Gottipati
Sagar Kurandwad
Clodéric Mars
Gregory Szriftgiser
Franccois Chabot
67
8
0
21 Jun 2021
Multi-Agent Curricula and Emergent Implicit Signaling
Multi-Agent Curricula and Emergent Implicit Signaling
Niko A. Grupen
Daniel D. Lee
B. Selman
113
6
0
21 Jun 2021
Towards Distraction-Robust Active Visual Tracking
Towards Distraction-Robust Active Visual Tracking
Fangwei Zhong
Peng Sun
Wenhan Luo
Tingyun Yan
Yizhou Wang
AAML
55
38
0
18 Jun 2021
Many Agent Reinforcement Learning Under Partial Observability
Many Agent Reinforcement Learning Under Partial Observability
Keyang He
Prashant Doshi
Bikramjit Banerjee
39
2
0
17 Jun 2021
A learning agent that acquires social norms from public sanctions in
  decentralized multi-agent settings
A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings
Eugene Vinitsky
Raphael Köster
J. Agapiou
Edgar A. Duénez-Guzmán
A. Vezhnevets
Joel Z Leibo
83
41
0
16 Jun 2021
Minimizing Communication while Maximizing Performance in Multi-Agent
  Reinforcement Learning
Minimizing Communication while Maximizing Performance in Multi-Agent Reinforcement Learning
V. Vijay
Hassam Sheikh
Somdeb Majumdar
Mariano Phielipp
53
5
0
15 Jun 2021
rSoccer: A Framework for Studying Reinforcement Learning in Small and
  Very Small Size Robot Soccer
rSoccer: A Framework for Studying Reinforcement Learning in Small and Very Small Size Robot Soccer
Felipe Bezerra Martins
Mateus G. Machado
H. Bassani
Pedro H. M. Braga
Edna N. S. Barros
32
16
0
15 Jun 2021
A Game-Theoretic Approach to Multi-Agent Trust Region Optimization
A Game-Theoretic Approach to Multi-Agent Trust Region Optimization
Ying Wen
Hui Chen
Yaodong Yang
Zheng Tian
Minne Li
Xu Chen
Jun Wang
94
11
0
12 Jun 2021
A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in
  Online Advertising
A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising
Chao Wen
Miao Xu
Zhilin Zhang
Zhenzhe Zheng
Yuhui Wang
...
Jian Xu
Fan Wu
Guihai Chen
Xiaoqiang Zhu
Bo Zheng
60
17
0
11 Jun 2021
DAIR: Disentangled Attention Intrinsic Regularization for Safe and
  Efficient Bimanual Manipulation
DAIR: Disentangled Attention Intrinsic Regularization for Safe and Efficient Bimanual Manipulation
Minghao Zhang
Pingcheng Jian
Yi Wu
Huazhe Xu
Xiaolong Wang
60
9
0
10 Jun 2021
Metric Policy Representations for Opponent Modeling
Metric Policy Representations for Opponent Modeling
Haobin Jiang
Yifan Yu
Zongqing Lu
52
1
0
10 Jun 2021
Cooperative Multi-Agent Fairness and Equivariant Policies
Cooperative Multi-Agent Fairness and Equivariant Policies
Niko A. Grupen
B. Selman
Daniel D. Lee
FaML
68
12
0
10 Jun 2021
Deception in Social Learning: A Multi-Agent Reinforcement Learning
  Perspective
Deception in Social Learning: A Multi-Agent Reinforcement Learning Perspective
P. Chelarescu
68
7
0
09 Jun 2021
RLupus: Cooperation through emergent communication in The Werewolf
  social deduction game
RLupus: Cooperation through emergent communication in The Werewolf social deduction game
Nicolo’ Brandizzi
D. Grossi
Luca Iocchi
63
9
0
09 Jun 2021
Multi-Agent Cooperative Bidding Games for Multi-Objective Optimization
  in e-Commercial Sponsored Search
Multi-Agent Cooperative Bidding Games for Multi-Objective Optimization in e-Commercial Sponsored Search
Ziyu Guan
Hongchang Wu
Qingyu Cao
Hao Liu
Wei Zhao
Sheng Li
Cai Xu
Guang Qiu
Jian Xu
Bo Zheng
68
16
0
08 Jun 2021
Expressivity of Emergent Language is a Trade-off between Contextual
  Complexity and Unpredictability
Expressivity of Emergent Language is a Trade-off between Contextual Complexity and Unpredictability
Shangmin Guo
Yi Ren
Kory W. Mathewson
S. Kirby
Stefano V. Albrecht
Kenny Smith
74
12
0
07 Jun 2021
The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces
The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces
Chi Jin
Qinghua Liu
Tiancheng Yu
86
50
0
07 Jun 2021
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