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TiZero: Mastering Multi-Agent Football with Curriculum Learning and
  Self-Play
v1v2 (latest)

TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play

Adaptive Agents and Multi-Agent Systems (AAMAS), 2023
15 February 2023
Fanqing Lin
Shiyu Huang
Tim Pearce
Wenze Chen
Weijuan Tu
ArXiv (abs)PDFHTMLGithub (3★)

Papers citing "TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play"

16 / 16 papers shown
Expandable Decision-Making States for Multi-Agent Deep Reinforcement Learning in Soccer Tactical Analysis
Expandable Decision-Making States for Multi-Agent Deep Reinforcement Learning in Soccer Tactical Analysis
Kenjiro Ide
Taiga Someya
Kohei Kawaguchi
Keisuke Fujii
264
0
0
01 Oct 2025
CRAFT: Coaching Reinforcement Learning Autonomously using Foundation Models for Multi-Robot Coordination Tasks
CRAFT: Coaching Reinforcement Learning Autonomously using Foundation Models for Multi-Robot Coordination Tasks
Seoyeon Choi
Kanghyun Ryu
Jonghoon Ock
Negar Mehr
234
3
0
17 Sep 2025
Understanding Action Effects through Instrumental Empowerment in Multi-Agent Reinforcement Learning
Understanding Action Effects through Instrumental Empowerment in Multi-Agent Reinforcement Learning
Ardian Selmonaj
M. Strupl
Oleg Szehr
Alessandro Antonucci
182
0
0
21 Aug 2025
Generalizable Agent Modeling for Agent Collaboration-Competition Adaptation with Multi-Retrieval and Dynamic Generation
Generalizable Agent Modeling for Agent Collaboration-Competition Adaptation with Multi-Retrieval and Dynamic Generation
Chenxu Wang
Yonggang Jin
Cheng Hu
Youpeng Zhao
Zipeng Dai
Jian Zhao
Shiyu Huang
Liuyu Xiang
Junge Zhang
Zhaofeng He
199
1
0
20 Jun 2025
ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork
ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork
Caroline Wang
Arrasy Rahman
Jiaxun Cui
Yoonchang Sung
Peter Stone
462
4
0
29 May 2025
SPECTra: Scalable Multi-Agent Reinforcement Learning with Permutation-Free Networks
SPECTra: Scalable Multi-Agent Reinforcement Learning with Permutation-Free Networks
Hyunwoo Park
Baekryun Seong
Sang-Ki Ko
GNN
377
2
0
14 Mar 2025
Transformer Guided Coevolution: Improved Team Selection in Multiagent Adversarial Team Games
Transformer Guided Coevolution: Improved Team Selection in Multiagent Adversarial Team Games
Pranav Rajbhandari
Prithviraj Dasgupta
D. Sofge
475
0
0
17 Oct 2024
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
359
11
0
30 Sep 2024
A Survey on Self-play Methods in Reinforcement Learning
A Survey on Self-play Methods in Reinforcement Learning
Chao Yu
Zelai Xu
Chengdong Ma
Chao Yu
Weijuan Tu
...
Deheng Ye
Wenbo Ding
Wenbo Ding
Yu Wang
Yu Wang
SyDaSSLOnRL
770
31
0
02 Aug 2024
N-Agent Ad Hoc Teamwork
N-Agent Ad Hoc Teamwork
C. Wang
Arrasy Rahman
Ishan Durugkar
Elad Liebman
Peter Stone
363
15
0
16 Apr 2024
MQE: Unleashing the Power of Interaction with Multi-agent Quadruped
  Environment
MQE: Unleashing the Power of Interaction with Multi-agent Quadruped EnvironmentIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
Ziyan Xiong
Bo Chen
Shiyu Huang
Weijuan Tu
Zhaofeng He
Yang Gao
362
13
0
24 Mar 2024
Multi-Agent Diagnostics for Robustness via Illuminated Diversity
Multi-Agent Diagnostics for Robustness via Illuminated DiversityAdaptive Agents and Multi-Agent Systems (AAMAS), 2024
Mikayel Samvelyan
Davide Paglieri
Minqi Jiang
Jack Parker-Holder
Tim Rocktaschel
AAML
368
6
0
24 Jan 2024
OpenRL: A Unified Reinforcement Learning Framework
OpenRL: A Unified Reinforcement Learning Framework
Shiyu Huang
Wentse Chen
Yiwen Sun
Fuqing Bie
Weijuan Tu
196
4
0
20 Dec 2023
DCIR: Dynamic Consistency Intrinsic Reward for Multi-Agent Reinforcement
  Learning
DCIR: Dynamic Consistency Intrinsic Reward for Multi-Agent Reinforcement Learning
Kun-Li Channing Lin
Yufeng Wang
Peihao Chen
Runhao Zeng
Siyuan Zhou
Zhuliang Yu
Chuang Gan
AI4CE
272
1
0
10 Dec 2023
Boosting Studies of Multi-Agent Reinforcement Learning on Google
  Research Football Environment: the Past, Present, and Future
Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: the Past, Present, and FutureAdaptive Agents and Multi-Agent Systems (AAMAS), 2023
Yan Song
He Jiang
Haifeng Zhang
Zheng Tian
Weinan Zhang
Jun Wang
OffRL
238
11
0
22 Sep 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
454
34
0
07 Jul 2023
1
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