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Google Research Football: A Novel Reinforcement Learning Environment

Google Research Football: A Novel Reinforcement Learning Environment

25 July 2019
Karol Kurach
Anton Raichuk
Piotr Stańczyk
Michal Zajac
Olivier Bachem
L. Espeholt
C. Riquelme
Damien Vincent
Marcin Michalski
Olivier Bousquet
Sylvain Gelly
ArXivPDFHTML

Papers citing "Google Research Football: A Novel Reinforcement Learning Environment"

50 / 217 papers shown
Title
Efficient Episodic Memory Utilization of Cooperative Multi-Agent
  Reinforcement Learning
Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning
Hyungho Na
Yunkyeong Seo
IL-Chul Moon
26
7
0
02 Mar 2024
Leveraging Team Correlation for Approximating Equilibrium in Two-Team
  Zero-Sum Games
Leveraging Team Correlation for Approximating Equilibrium in Two-Team Zero-Sum Games
Naming Liu
Mingzhi Wang
Youzhi Zhang
Yaodong Yang
Bo An
Ying Wen
29
0
0
01 Mar 2024
Offline Fictitious Self-Play for Competitive Games
Offline Fictitious Self-Play for Competitive Games
Jingxiao Chen
Weiji Xie
Weinan Zhang
Yong Zu
Ying Wen
OffRL
46
0
0
29 Feb 2024
Imagine, Initialize, and Explore: An Effective Exploration Method in
  Multi-Agent Reinforcement Learning
Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning
Zeyang Liu
Lipeng Wan
Xinrui Yang
Zhuoran Chen
Xingyu Chen
Xuguang Lan
21
3
0
28 Feb 2024
SportsNGEN: Sustained Generation of Multi-player Sports Gameplay
SportsNGEN: Sustained Generation of Multi-player Sports Gameplay
Lachlan Thorpe
Lewis Bawden
Karanjot Vendal
J. Bronskill
Richard E. Turner
26
0
0
10 Feb 2024
Forecasting Events in Soccer Matches Through Language
Forecasting Events in Soccer Matches Through Language
Tiago Mendes-Neves
Luís Meireles
João Mendes-Moreira
18
3
0
09 Feb 2024
Multi-agent Reinforcement Learning for Energy Saving in Multi-Cell
  Massive MIMO Systems
Multi-agent Reinforcement Learning for Energy Saving in Multi-Cell Massive MIMO Systems
Tianzhang Cai
Qichen Wang
Shuai Zhang
Ozlem Tuugfe Demir
C. Cavdar
8
3
0
05 Feb 2024
Multi-Agent Diagnostics for Robustness via Illuminated Diversity
Multi-Agent Diagnostics for Robustness via Illuminated Diversity
Mikayel Samvelyan
Davide Paglieri
Minqi Jiang
Jack Parker-Holder
Tim Rocktaschel
AAML
27
4
0
24 Jan 2024
Backpropagation Through Agents
Backpropagation Through Agents
Zhiyuan Li
Wenshuai Zhao
Lijun Wu
Joni Pajarinen
29
1
0
23 Jan 2024
CivRealm: A Learning and Reasoning Odyssey in Civilization for
  Decision-Making Agents
CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents
Siyuan Qi
Shuo Chen
Yexin Li
Xiangyu Kong
Junqi Wang
...
Zhaowei Zhang
Nian Liu
Wei Wang
Yaodong Yang
Song-Chun Zhu
AI4CE
LRM
24
18
0
19 Jan 2024
Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A
  Survey
Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A Survey
Jiechuan Jiang
Kefan Su
Zongqing Lu
38
3
0
10 Jan 2024
TimeGraphs: Graph-based Temporal Reasoning
TimeGraphs: Graph-based Temporal Reasoning
Paridhi Maheshwari
Hongyu Ren
Yanan Wang
R. Sosič
J. Leskovec
AI4TS
AI4CE
16
2
0
06 Jan 2024
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
Wenzhang Liu
Wenzhe Cai
Kun Jiang
Guangran Cheng
Yuanda Wang
Changyin Sun
Jingyu Cao
Lele Xu
Chaoxu Mu
Changyin Sun
39
4
0
25 Dec 2023
Multi-Task Multi-Agent Shared Layers are Universal Cognition of
  Multi-Agent Coordination
Multi-Task Multi-Agent Shared Layers are Universal Cognition of Multi-Agent Coordination
Jiawei Wang
Jian Zhao
Zhengtao Cao
Ruili Feng
Rongjun Qin
Yang Yu
27
1
0
25 Dec 2023
CARSS: Cooperative Attention-guided Reinforcement Subpath Synthesis for
  Solving Traveling Salesman Problem
CARSS: Cooperative Attention-guided Reinforcement Subpath Synthesis for Solving Traveling Salesman Problem
Yuchen Shi
Congying Han
Tiande Guo
10
0
0
24 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
On Diagnostics for Understanding Agent Training Behaviour in Cooperative
  MARL
On Diagnostics for Understanding Agent Training Behaviour in Cooperative MARL
Wiem Khlifi
Siddarth S. Singh
Omayma Mahjoub
Ruan de Kock
Abidine Vall
R. Gorsane
Arnu Pretorius
36
1
0
13 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
Mingkui Tan
Chuang Gan
AI4CE
29
0
0
10 Dec 2023
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
38
16
0
08 Dec 2023
Attention-Guided Contrastive Role Representations for Multi-Agent
  Reinforcement Learning
Attention-Guided Contrastive Role Representations for Multi-Agent Reinforcement Learning
Zican Hu
Zongzhang Zhang
Huaxiong Li
Chunlin Chen
Hongyu Ding
Zhi Wang
62
8
0
08 Dec 2023
The NeurIPS 2022 Neural MMO Challenge: A Massively Multiagent
  Competition with Specialization and Trade
The NeurIPS 2022 Neural MMO Challenge: A Massively Multiagent Competition with Specialization and Trade
Enhong Liu
Joseph Suárez
Chenhui You
Bo Wu
Bingcheng Chen
...
Yuejia Huang
Kun Zhang
Hanhui Yang
Shi-bao Tang
Phillip Isola
13
0
0
07 Nov 2023
Staged Reinforcement Learning for Complex Tasks through Decomposed
  Environments
Staged Reinforcement Learning for Complex Tasks through Decomposed Environments
Rafael Pina
Corentin Artaud
Xiaolan Liu
V. D. Silva
18
1
0
05 Nov 2023
AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline
  Multi-Agent RL via Alternating Stationary Distribution Correction Estimation
AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation
Daiki E. Matsunaga
Jongmin Lee
Jaeseok Yoon
Stefanos Leonardos
Pieter Abbeel
Kee-Eung Kim
OODD
OffRL
24
3
0
03 Nov 2023
Fair collaborative vehicle routing: A deep multi-agent reinforcement
  learning approach
Fair collaborative vehicle routing: A deep multi-agent reinforcement learning approach
Stephen Mak
Liming Xu
Tim Pearce
Michael Ostroumov
Alexandra Brintrup
29
11
0
26 Oct 2023
Iteratively Learn Diverse Strategies with State Distance Information
Iteratively Learn Diverse Strategies with State Distance Information
Wei Fu
Weihua Du
Jingwei Li
Sunli Chen
Jingzhao Zhang
Yi Wu
51
3
0
23 Oct 2023
Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots
Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots
Xavi Puig
Eric Undersander
Andrew Szot
Mikael Dallaire Cote
Tsung-Yen Yang
...
Singh Chaplot
Unnat Jain
Dhruv Batra
†. AksharaRai
†. RoozbehMottaghi
16
115
0
19 Oct 2023
ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot
  Coordination
ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination
Xihuai Wang
Shao Zhang
Wenhao Zhang
Wentao Dong
Jingxiao Chen
Ying Wen
Weinan Zhang
28
8
0
08 Oct 2023
GEAR: A GPU-Centric Experience Replay System for Large Reinforcement
  Learning Models
GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models
Hanjing Wang
Man-Kit Sit
Cong He
Ying Wen
Weinan Zhang
Jun Wang
Yaodong Yang
Luo Mai
OffRL
VLM
32
1
0
08 Oct 2023
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with
  Subgame Curriculum Learning
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning
Jiayu Chen
Zelai Xu
Yunfei Li
Chao Yu
Jiaming Song
Huazhong Yang
Fei Fang
Yu Wang
Yi Wu
29
4
0
07 Oct 2023
Fictitious Cross-Play: Learning Global Nash Equilibrium in Mixed
  Cooperative-Competitive Games
Fictitious Cross-Play: Learning Global Nash Equilibrium in Mixed Cooperative-Competitive Games
Zelai Xu
Yancheng Liang
Chao Yu
Yu Wang
Yi Wu
23
8
0
05 Oct 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 Future
Yan Song
He Jiang
Haifeng Zhang
Zheng Tian
Weinan Zhang
Jun Wang
OffRL
23
8
0
22 Sep 2023
Counterfactual Conservative Q Learning for Offline Multi-agent
  Reinforcement Learning
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning
Jianzhun Shao
Yun Qu
Chen Chen
Hongchang Zhang
Xiangyang Ji
OffRL
20
19
0
22 Sep 2023
Fidelity-Induced Interpretable Policy Extraction for Reinforcement
  Learning
Fidelity-Induced Interpretable Policy Extraction for Reinforcement Learning
Xiao Liu
Wubing Chen
Mao Tan
16
2
0
12 Sep 2023
Benchmarking Robustness and Generalization in Multi-Agent Systems: A
  Case Study on Neural MMO
Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO
Yangkun Chen
Joseph Suárez
Junjie Zhang
Chenghui Yu
Bo Wu
...
Sharada Mohanty
Jiaxin Chen
Xiu Li
Xiaolong Zhu
Phillip Isola
29
0
0
30 Aug 2023
FoX: Formation-aware exploration in multi-agent reinforcement learning
FoX: Formation-aware exploration in multi-agent reinforcement learning
Yonghyeon Jo
Sunwoo Lee
Junghyuk Yum
Seungyul Han
35
5
0
22 Aug 2023
Towards Few-shot Coordination: Revisiting Ad-hoc Teamplay Challenge In
  the Game of Hanabi
Towards Few-shot Coordination: Revisiting Ad-hoc Teamplay Challenge In the Game of Hanabi
Hadi Nekoei
Xutong Zhao
Janarthanan Rajendran
Miao Liu
Sarath Chandar
22
4
0
20 Aug 2023
Mimicking To Dominate: Imitation Learning Strategies for Success in
  Multiagent Competitive Games
Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Competitive Games
The Viet Bui
Tien Mai
T. Nguyen
13
1
0
20 Aug 2023
Never Explore Repeatedly in Multi-Agent Reinforcement Learning
Never Explore Repeatedly in Multi-Agent Reinforcement Learning
Chenghao Li
Tonghan Wang
Chongjie Zhang
Qianchuan Zhao
34
2
0
19 Aug 2023
Learning to Collaborate by Grouping: a Consensus-oriented Strategy for
  Multi-agent Reinforcement Learning
Learning to Collaborate by Grouping: a Consensus-oriented Strategy for Multi-agent Reinforcement Learning
Jingqing Ruan
Xiaotian Hao
D. Li
Hangyu Mao
29
5
0
28 Jul 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
16
8
0
27 Jul 2023
Pyrus Base: An Open Source Python Framework for the RoboCup 2D Soccer
  Simulation
Pyrus Base: An Open Source Python Framework for the RoboCup 2D Soccer Simulation
Nader Zare
Aref Sayareh
Omid Amini
Mahtab Sarvmaili
Arad Firouzkouhi
Stan Matwin
Amílcar Soares
GP
12
1
0
22 Jul 2023
Towards General Game Representations: Decomposing Games Pixels into
  Content and Style
Towards General Game Representations: Decomposing Games Pixels into Content and Style
C. Trivedi
Konstantinos Makantasis
Antonios Liapis
Georgios N. Yannakakis
OCL
38
3
0
20 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 Decision
Zhonghan Zhao
Wenhao Chai
Shengyu Hao
Wenhao Hu
Guanhong Wang
Shidong Cao
Min-Gyoo Song
Jenq-Neng Hwang
Gaoang Wang
32
17
0
07 Jul 2023
RaidEnv: Exploring New Challenges in Automated Content Balancing for
  Boss Raid Games
RaidEnv: Exploring New Challenges in Automated Content Balancing for Boss Raid Games
Hyeonchang Jeon
In-Chang Baek
Cheong-mok Bae
Taehwa Park
Wonsang You
Taegwan Ha
Hoyun Jung
Jinha Noh
Seungwon Oh
Kyung-Joong Kim
42
11
0
04 Jul 2023
SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand
  Cores
SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores
Zhiyu Mei
Wei Fu
Jiaxuan Gao
Guang Wang
Huanchen Zhang
Yi Wu
OffRL
LRM
29
5
0
29 Jun 2023
Diversity is Strength: Mastering Football Full Game with Interactive
  Reinforcement Learning of Multiple AIs
Diversity is Strength: Mastering Football Full Game with Interactive Reinforcement Learning of Multiple AIs
Chenglu Sun
Shuo Shen
Sijia Xu
Weidong Zhang
22
1
0
28 Jun 2023
TVDO: Tchebycheff Value-Decomposition Optimization for Multi-Agent
  Reinforcement Learning
TVDO: Tchebycheff Value-Decomposition Optimization for Multi-Agent Reinforcement Learning
Xiao Hu
P. Guo
Chuanwei Zhou
Tong Zhang
Zhen Cui
29
0
0
24 Jun 2023
IMP-MARL: a Suite of Environments for Large-scale Infrastructure
  Management Planning via MARL
IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL
Pascal Leroy
P. G. Morato
J. Pisane
A. Kolios
D. Ernst
OffRL
35
9
0
20 Jun 2023
CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning
CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning
Nikunj Gupta
Somjit Nath
Samira Ebrahimi Kahou
22
0
0
19 Jun 2023
A Versatile Multi-Agent Reinforcement Learning Benchmark for Inventory
  Management
A Versatile Multi-Agent Reinforcement Learning Benchmark for Inventory Management
Xianliang Yang
Zhihao Liu
Wei Jiang
Chuheng Zhang
Li Zhao
Lei Song
Jiang Bian
30
13
0
13 Jun 2023
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