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Emergent Coordination Through Competition
v1v2 (latest)

Emergent Coordination Through Competition

19 February 2019
Siqi Liu
Guy Lever
J. Merel
S. Tunyasuvunakool
N. Heess
T. Graepel
ArXiv (abs)PDFHTML

Papers citing "Emergent Coordination Through Competition"

50 / 91 papers shown
Title
Who's the Mole? Modeling and Detecting Intention-Hiding Malicious Agents in LLM-Based Multi-Agent Systems
Who's the Mole? Modeling and Detecting Intention-Hiding Malicious Agents in LLM-Based Multi-Agent Systems
Yizhe Xie
Congcong Zhu
X. Zhang
Tianqing Zhu
Dayong Ye
Minghao Wang
Chi Liu
LLMAG
144
2
0
07 Jul 2025
SoccerSynth Field: enhancing field detection with synthetic data from virtual soccer simulator
SoccerSynth Field: enhancing field detection with synthetic data from virtual soccer simulator
Haobin Qin
Jiale Fang
Keisuke Fujii
244
0
0
18 Mar 2025
MARLadona -- Towards Cooperative Team Play Using Multi-Agent
  Reinforcement Learning
MARLadona -- Towards Cooperative Team Play Using Multi-Agent Reinforcement LearningIEEE International Conference on Robotics and Automation (ICRA), 2024
Zichong Li
Filip Bjelonic
Victor Klemm
Marco Hutter
223
9
0
30 Sep 2024
Enabling Multi-Robot Collaboration from Single-Human Guidance
Enabling Multi-Robot Collaboration from Single-Human GuidanceIEEE International Conference on Robotics and Automation (ICRA), 2024
Zhengran Ji
Lingyu Zhang
Paul Sajda
Boyuan Chen
213
4
0
30 Sep 2024
Subequivariant Reinforcement Learning in 3D Multi-Entity Physical
  Environments
Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments
Runfa Chen
Ling Wang
Yu Du
Tianrui Xue
Gang Hua
Jianwei Zhang
Wenbing Huang
OffRL
217
1
0
17 Jul 2024
Wildfire Autonomous Response and Prediction Using Cellular Automata
  (WARP-CA)
Wildfire Autonomous Response and Prediction Using Cellular Automata (WARP-CA)
Abdelrahman Ramadan
51
1
0
02 Jul 2024
Distributed Online Planning for Min-Max Problems in Networked Markov
  Games
Distributed Online Planning for Min-Max Problems in Networked Markov Games
Alexandros E. Tzikas
Jinkyoo Park
Mykel J. Kochenderfer
Ross E. Allen
OffRL
138
1
0
29 May 2024
CompetEvo: Towards Morphological Evolution from Competition
CompetEvo: Towards Morphological Evolution from Competition
K. Huang
Di Guo
Xinyu Zhang
Xiangyang Ji
Huaping Liu
280
6
0
28 May 2024
Learning Robot Soccer from Egocentric Vision with Deep Reinforcement
  Learning
Learning Robot Soccer from Egocentric Vision with Deep Reinforcement LearningConference on Robot Learning (CoRL), 2024
Dhruva Tirumala
Markus Wulfmeier
Ben Moran
Sandy Huang
Jan Humplik
...
Kushal Patel
Marlon Gwira
Francesco Nori
Martin Riedmiller
N. Heess
220
23
0
03 May 2024
Generalized Population-Based Training for Hyperparameter Optimization in
  Reinforcement Learning
Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learning
Hui Bai
Ran Cheng
231
10
0
12 Apr 2024
Neural Population Learning beyond Symmetric Zero-sum Games
Neural Population Learning beyond Symmetric Zero-sum GamesAdaptive Agents and Multi-Agent Systems (AAMAS), 2024
Siqi Liu
Luke Marris
Marc Lanctot
Georgios Piliouras
Joel Z Leibo
N. Heess
MLT
179
4
0
10 Jan 2024
A Review of Cooperation in Multi-agent Learning
A Review of Cooperation in Multi-agent Learning
Yali Du
Joel Z Leibo
Usman Islam
Richard Willis
P. Sunehag
188
44
0
08 Dec 2023
Iteratively Learn Diverse Strategies with State Distance Information
Iteratively Learn Diverse Strategies with State Distance InformationNeural Information Processing Systems (NeurIPS), 2023
Wei Fu
Weihua Du
Jingwei Li
Sunli Chen
Jingzhao Zhang
Yi Wu
246
5
0
23 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
221
0
0
09 Oct 2023
A Strategic Framework for Optimal Decisions in Football 1-vs-1
  Shot-Taking Situations: An Integrated Approach of Machine Learning,
  Theory-Based Modeling, and Game Theory
A Strategic Framework for Optimal Decisions in Football 1-vs-1 Shot-Taking Situations: An Integrated Approach of Machine Learning, Theory-Based Modeling, and Game Theory
Calvin Yeung
Keisuke Fujii
141
12
0
27 Jul 2023
A Survey of Deep Learning in Sports Applications: Perception,
  Comprehension, and Decision
A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and DecisionIEEE Transactions on Visualization and Computer Graphics (TVCG), 2023
Zhonghan Zhao
Wenhao Chai
Shengyu Hao
Wenhao Hu
Guanhong Wang
Shidong Cao
Min-Gyoo Song
Lei Li
Gaoang Wang
362
24
0
07 Jul 2023
Learning Diverse Risk Preferences in Population-based Self-play
Learning Diverse Risk Preferences in Population-based Self-playAAAI Conference on Artificial Intelligence (AAAI), 2023
Y. Jiang
Qihan Liu
Xiaoteng Ma
Chenghao Li
Yiqin Yang
Jun Yang
Bin Liang
Qianchuan Zhao
336
8
0
19 May 2023
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement
  Learning
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement LearningScience Robotics (Sci. Robot.), 2023
Tuomas Haarnoja
Ben Moran
Guy Lever
Sandy H. Huang
Dhruva Tirumala
...
Andrea Huber
N. Hurley
F. Nori
R. Hadsell
N. Heess
342
216
0
26 Apr 2023
Evolutionary Reinforcement Learning: A Survey
Evolutionary Reinforcement Learning: A SurveyIntelligent Computing (IC), 2023
Hui Bai
Ran Cheng
Yaochu Jin
OffRL
338
75
0
07 Mar 2023
Diverse Policy Optimization for Structured Action Space
Diverse Policy Optimization for Structured Action SpaceAdaptive Agents and Multi-Agent Systems (AAMAS), 2023
Wenhao Li
Baoxiang Wang
Shanchao Yang
H. Zha
OffRL
149
1
0
23 Feb 2023
TiZero: Mastering Multi-Agent Football with Curriculum Learning and
  Self-Play
TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-PlayAdaptive Agents and Multi-Agent Systems (AAMAS), 2023
Fanqing Lin
Shiyu Huang
Tim Pearce
Wenze Chen
Weijuan Tu
228
30
0
15 Feb 2023
Towards Skilled Population Curriculum for Multi-Agent Reinforcement
  Learning
Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning
Rongpin Wang
Longtao Zheng
Wei Qiu
Bowei He
Bo An
Zinovi Rabinovich
Yujing Hu
Yingfeng Chen
Tangjie Lv
Changjie Fan
110
3
0
07 Feb 2023
Multi-Agent Interplay in a Competitive Survival Environment
Multi-Agent Interplay in a Competitive Survival Environment
Andrea Fanti
171
0
0
19 Jan 2023
Human-Timescale Adaptation in an Open-Ended Task Space
Human-Timescale Adaptation in an Open-Ended Task SpaceInternational Conference on Machine Learning (ICML), 2023
Adaptive Agent Team
Jakob Bauer
Kate Baumli
Satinder Baveja
Feryal M. P. Behbahani
...
Jakub Sygnowski
K. Tuyls
Sarah York
Alexander Zacherl
Lei Zhang
LM&RoOffRLAI4CELRM
287
146
0
18 Jan 2023
Rethinking Trajectory Prediction via "Team Game"
Rethinking Trajectory Prediction via "Team Game"
Zikai Wei
Xinge Zhu
Bo Dai
Dahua Lin
AI4CE
112
1
0
17 Oct 2022
Developing, Evaluating and Scaling Learning Agents in Multi-Agent
  Environments
Developing, Evaluating and Scaling Learning Agents in Multi-Agent EnvironmentsAI Communications (AC), 2022
I. Gemp
Thomas W. Anthony
Yoram Bachrach
Avishkar Bhoopchand
Kalesha Bullard
...
Florian Strub
Andrea Tacchetti
Eugene Tarassov
Zhe Wang
K. Tuyls
LLMAGAI4CE
160
4
0
22 Sep 2022
Lamarckian Platform: Pushing the Boundaries of Evolutionary
  Reinforcement Learning towards Asynchronous Commercial Games
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial GamesIEEE Transactions on Games (IEEE Trans. Games), 2022
Hui Bai
R. Shen
Yue Lin
Bo Xu
Ran Cheng
VLM
229
6
0
21 Sep 2022
S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent
  Reinforcement Learning?
S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning?Knowledge Discovery and Data Mining (KDD), 2022
Shuang Luo
Yinchuan Li
Jiahui Li
Kun Kuang
Furui Liu
Yunfeng Shao
Chao-Xiang Wu
OffRL
129
7
0
20 Jun 2022
From Multi-agent to Multi-robot: A Scalable Training and Evaluation
  Platform for Multi-robot Reinforcement Learning
From Multi-agent to Multi-robot: A Scalable Training and Evaluation Platform for Multi-robot Reinforcement Learning
Zhiuxan Liang
Jiannong Cao
Shan Jiang
Divya Saxena
Jinlin Chen
Huafeng Xu
101
10
0
20 Jun 2022
Beyond Rewards: a Hierarchical Perspective on Offline Multiagent
  Behavioral Analysis
Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral AnalysisNeural Information Processing Systems (NeurIPS), 2022
Shayegan Omidshafiei
A. Kapishnikov
Yannick Assogba
Lucas Dixon
Been Kim
OffRL
267
5
0
17 Jun 2022
MA-Dreamer: Coordination and communication through shared imagination
MA-Dreamer: Coordination and communication through shared imagination
Kenzo Lobos-Tsunekawa
Akshay Srinivasan
Michael Spranger
106
2
0
10 Apr 2022
Continuously Discovering Novel Strategies via Reward-Switching Policy
  Optimization
Continuously Discovering Novel Strategies via Reward-Switching Policy OptimizationInternational Conference on Learning Representations (ICLR), 2022
Zihan Zhou
Wei Fu
Bingliang Zhang
Yi Wu
188
34
0
04 Apr 2022
NeuPL: Neural Population Learning
NeuPL: Neural Population LearningInternational Conference on Learning Representations (ICLR), 2022
Siqi Liu
Luke Marris
Daniel Hennes
J. Merel
N. Heess
T. Graepel
183
19
0
15 Feb 2022
Motivating Physical Activity via Competitive Human-Robot Interaction
Motivating Physical Activity via Competitive Human-Robot InteractionConference on Robot Learning (CoRL), 2022
Boling Yang
Golnaz Habibi
Patrick E. Lancaster
Byron Boots
Joshua R. Smith
155
8
0
14 Feb 2022
Learning Collective Action under Risk Diversity
Learning Collective Action under Risk Diversity
Ramona Merhej
Fernando P. Santos
Francisco S. Melo
Mohamed Chetouani
Francisco C. Santos
64
1
0
30 Jan 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Automated Reinforcement Learning (AutoRL): A Survey and Open ProblemsJournal of Artificial Intelligence Research (JAIR), 2022
Jack Parker-Holder
Raghunandan Rajan
Xingyou Song
André Biedenkapp
Yingjie Miao
...
Vu-Linh Nguyen
Roberto Calandra
Aleksandra Faust
Katharina Eggensperger
Marius Lindauer
AI4CE
293
123
0
11 Jan 2022
Collective Intelligence for Deep Learning: A Survey of Recent
  Developments
Collective Intelligence for Deep Learning: A Survey of Recent DevelopmentsCollective Intelligence (CI), 2021
David R Ha
Yu Tang
AI4CE
297
83
0
29 Nov 2021
How does AI play football? An analysis of RL and real-world football
  strategies
How does AI play football? An analysis of RL and real-world football strategies
Atom Scott
Keisuke Fujii
Masaki Onishi
256
16
0
24 Nov 2021
Local Advantage Actor-Critic for Robust Multi-Agent Deep Reinforcement
  Learning
Local Advantage Actor-Critic for Robust Multi-Agent Deep Reinforcement Learning
Yuchen Xiao
Xueguang Lyu
Chris Amato
181
9
0
16 Oct 2021
TiKick: Towards Playing Multi-agent Football Full Games from
  Single-agent Demonstrations
TiKick: Towards Playing Multi-agent Football Full Games from Single-agent Demonstrations
Shiyu Huang
Wenze Chen
Longfei Zhang
Shizhen Xu
Ziyang Li
Fengming Zhu
Deheng Ye
Tingling Chen
Jun Zhu
OffRL
248
28
0
09 Oct 2021
Pick Your Battles: Interaction Graphs as Population-Level Objectives for
  Strategic Diversity
Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic DiversityAdaptive Agents and Multi-Agent Systems (AAMAS), 2021
M. Garnelo
Wojciech M. Czarnecki
Siqi Liu
Dhruva Tirumala
Junhyuk Oh
Gauthier Gidel
H. V. Hasselt
David Balduzzi
191
25
0
08 Oct 2021
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting
  Pot
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting PotInternational Conference on Machine Learning (ICML), 2021
Joel Z Leibo
Edgar A. Duénez-Guzmán
A. Vezhnevets
J. Agapiou
P. Sunehag
Raphael Köster
Jayd Matyas
Charlie Beattie
Igor Mordatch
T. Graepel
OffRL
198
128
0
14 Jul 2021
Tuning Mixed Input Hyperparameters on the Fly for Efficient Population
  Based AutoRL
Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRLNeural Information Processing Systems (NeurIPS), 2021
Jack Parker-Holder
Vu Nguyen
Shaan Desai
Stephen J. Roberts
142
19
0
30 Jun 2021
Deep Multiagent Reinforcement Learning: Challenges and Directions
Deep Multiagent Reinforcement Learning: Challenges and DirectionsArtificial Intelligence Review (AIR), 2021
Annie Wong
Thomas Bäck
Anna V. Kononova
Aske Plaat
AI4CE
217
143
0
29 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 SoccerRobot Soccer World Cup (RoboCup), 2021
Felipe Bezerra Martins
Mateus G. Machado
H. Bassani
Pedro H. M. Braga
Edna N. S. Barros
83
17
0
15 Jun 2021
From Motor Control to Team Play in Simulated Humanoid Football
From Motor Control to Team Play in Simulated Humanoid Football
Siqi Liu
Guy Lever
Zhe Wang
J. Merel
S. M. Ali Eslami
...
Tuomas Haarnoja
Brendan D. Tracey
K. Tuyls
T. Graepel
N. Heess
214
149
0
25 May 2021
Multi-Robot Coordination and Planning in Uncertain and Adversarial
  Environments
Multi-Robot Coordination and Planning in Uncertain and Adversarial EnvironmentsCurrent Robotics Reports (CRR), 2021
Lifeng Zhou
Erfaun Noorani
245
54
0
02 May 2021
Two-stage training algorithm for AI robot soccer
Two-stage training algorithm for AI robot soccerPeerJ Computer Science (PeerJ Comput. Sci.), 2021
Taeyoung Kim
L. Vecchietti
Kyujin Choi
Sanem Sariel
Dongsoo Har
168
8
0
13 Apr 2021
On the Critical Role of Conventions in Adaptive Human-AI Collaboration
On the Critical Role of Conventions in Adaptive Human-AI CollaborationInternational Conference on Learning Representations (ICLR), 2021
Andy Shih
Arjun Sawhney
J. Kondic
Stefano Ermon
Dorsa Sadigh
154
42
0
07 Apr 2021
Modelling Behavioural Diversity for Learning in Open-Ended Games
Modelling Behavioural Diversity for Learning in Open-Ended GamesInternational Conference on Machine Learning (ICML), 2021
Nicolas Perez Nieves
Yaodong Yang
Oliver Slumbers
D. Mguni
Ying Wen
Jun Wang
248
77
0
14 Mar 2021
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