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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
Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning
Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning
Shunyu Liu
Jie Song
Yihe Zhou
Na Yu
Kaixuan Chen
Zunlei Feng
Mingli Song
26
7
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
18
36
0
07 Jul 2022
Nocturne: a scalable driving benchmark for bringing multi-agent learning
  one step closer to the real world
Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world
Eugene Vinitsky
Nathan Lichtlé
Xiaomeng Yang
Brandon Amos
Jakob N. Foerster
OffRL
38
51
0
20 Jun 2022
SMPL: Simulated Industrial Manufacturing and Process Control Learning
  Environments
SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments
Mohan Zhang
Xiaozhou Wang
Benjamin Decardi-Nelson
Bo Song
A. Zhang
...
Jiayi Cheng
Xiaohong Liu
DengDeng Yu
Matthew Poon
Animesh Garg
13
4
0
17 Jun 2022
Revisiting Some Common Practices in Cooperative Multi-Agent
  Reinforcement Learning
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning
Wei Fu
Chao Yu
Zelai Xu
Jiaqi Yang
Yi Wu
34
32
0
15 Jun 2022
Learning Task-Independent Game State Representations from Unlabeled
  Images
Learning Task-Independent Game State Representations from Unlabeled Images
C. Trivedi
Konstantinos Makantasis
Antonios Liapis
Georgios N. Yannakakis
SSL
16
6
0
13 Jun 2022
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu
Bin Zhang
Dapeng Li
Zeren Zhang
Guangchong Zhou
Hao Chen
Guoliang Fan
21
14
0
06 Jun 2022
Evaluation of creating scoring opportunities for teammates in soccer via
  trajectory prediction
Evaluation of creating scoring opportunities for teammates in soccer via trajectory prediction
Masaki Teranishi
Kazushi Tsutsui
K. Takeda
Keisuke Fujii
30
22
0
04 Jun 2022
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent
  RL
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL
Siyi Hu
Chuanlong Xie
Xiaodan Liang
Xiaojun Chang
8
20
0
01 Jun 2022
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem
Muning Wen
J. Kuba
Runji Lin
Weinan Zhang
Ying Wen
Jun Wang
Yaodong Yang
26
178
0
30 May 2022
Coordinating Policies Among Multiple Agents via an Intelligent
  Communication Channel
Coordinating Policies Among Multiple Agents via an Intelligent Communication Channel
Dianbo Liu
Vedant Shah
Oussama Boussif
Cristian Meo
Anirudh Goyal
Tianmin Shu
Michael C. Mozer
N. Heess
Yoshua Bengio
27
0
0
21 May 2022
A2C is a special case of PPO
A2C is a special case of PPO
Shengyi Huang
Anssi Kanervisto
Antonin Raffin
Weixun Wang
Santiago Ontañón
Rousslan Fernand Julien Dossa
OffRL
32
24
0
18 May 2022
LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent
  Reinforcement Learning
LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning
Mingyu Yang
Jian Zhao
Xu Hu
Wen-gang Zhou
Jiangcheng Zhu
Houqiang Li
19
30
0
05 May 2022
Graph Neural Network based Agent in Google Research Football
Graph Neural Network based Agent in Google Research Football
Yizhan Niu
Jinglong Liu
Yuhao Shi
Jiren Zhu
GNN
24
2
0
23 Apr 2022
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent
  Reinforcement Learning
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu
Dapeng Li
Bin Zhang
Yuan Zhan
Yunru Bai
Guoliang Fan
OffRL
27
6
0
20 Apr 2022
Model-based Multi-agent Reinforcement Learning: Recent Progress and
  Prospects
Model-based Multi-agent Reinforcement Learning: Recent Progress and Prospects
Xihuai Wang
Zhicheng Zhang
Weinan Zhang
15
25
0
20 Mar 2022
Breaking the Curse of Dimensionality in Multiagent State Space: A
  Unified Agent Permutation Framework
Breaking the Curse of Dimensionality in Multiagent State Space: A Unified Agent Permutation Framework
Xiaotian Hao
Hangyu Mao
Weixun Wang
Yaodong Yang
Dong Li
Yan Zheng
Zhen Wang
Jianye Hao
LRM
31
6
0
10 Mar 2022
Exploring with Sticky Mittens: Reinforcement Learning with Expert
  Interventions via Option Templates
Exploring with Sticky Mittens: Reinforcement Learning with Expert Interventions via Option Templates
Souradeep Dutta
Kaustubh Sridhar
Osbert Bastani
Yan Sun
James Weimer
Insup Lee
J. Parish-Morris
22
2
0
25 Feb 2022
GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement
  Learning
GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning
Jingqing Ruan
Yali Du
Xuantang Xiong
Dengpeng Xing
Xiyun Li
Linghui Meng
Haifeng Zhang
Jun Wang
Bo Xu
46
29
0
17 Jan 2022
Offsetting Unequal Competition through RL-assisted Incentive Schemes
Offsetting Unequal Competition through RL-assisted Incentive Schemes
Paramita Koley
Aurghya Maiti
Sourangshu Bhattacharya
Niloy Ganguly
28
1
0
05 Jan 2022
Integrating Artificial Intelligence and Augmented Reality in Robotic
  Surgery: An Initial dVRK Study Using a Surgical Education Scenario
Integrating Artificial Intelligence and Augmented Reality in Robotic Surgery: An Initial dVRK Study Using a Surgical Education Scenario
Yonghao Long
Jianfeng Cao
Anton Deguet
Russell H. Taylor
Qi Dou
34
21
0
02 Jan 2022
The Partially Observable Asynchronous Multi-Agent Cooperation Challenge
The Partially Observable Asynchronous Multi-Agent Cooperation Challenge
Meng Yao
Qiyue Yin
Jun Yang
Tongtong Yu
S. Shen
Junge Zhang
Bin Liang
Kaiqi Huang
24
5
0
07 Dec 2021
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical
  Reinforcement Learning
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning
Zichuan Lin
Junyou Li
Jianing Shi
Deheng Ye
Qiang Fu
Wei Yang
BDL
32
34
0
07 Dec 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
52
13
0
24 Nov 2021
Learning to Simulate Self-Driven Particles System with Coordinated
  Policy Optimization
Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization
Zhenghao Peng
Quanyi Li
Ka-Ming Hui
Chunxiao Liu
Bolei Zhou
44
58
0
26 Oct 2021
Containerized Distributed Value-Based Multi-Agent Reinforcement Learning
Containerized Distributed Value-Based Multi-Agent Reinforcement Learning
Siyang Wu
Tonghan Wang
Chenghao Li
Yang Hu
Chongjie Zhang
OffRL
21
1
0
15 Oct 2021
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with
  Dual Coordination Mechanism
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism
Zhiwei Xu
Yunpeng Bai
Bin Zhang
Dapeng Li
Guoliang Fan
22
23
0
14 Oct 2021
Reinforcement Learning In Two Player Zero Sum Simultaneous Action Games
Reinforcement Learning In Two Player Zero Sum Simultaneous Action Games
Patrick Phillips
14
4
0
10 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
37
25
0
09 Oct 2021
Learning Multi-agent Action Coordination via Electing First-move Agent
Learning Multi-agent Action Coordination via Electing First-move Agent
Jingqing Ruan
Linghui Meng
Xuantang Xiong
Dengpeng Xing
Bo Xu
23
2
0
20 Sep 2021
Dependability Analysis of Deep Reinforcement Learning based Robotics and
  Autonomous Systems through Probabilistic Model Checking
Dependability Analysis of Deep Reinforcement Learning based Robotics and Autonomous Systems through Probabilistic Model Checking
Yizhen Dong
Xingyu Zhao
Xiaowei Huang
27
6
0
14 Sep 2021
Semantic Tracklets: An Object-Centric Representation for Visual
  Multi-Agent Reinforcement Learning
Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning
Iou-Jen Liu
Zhongzheng Ren
Raymond A. Yeh
A. Schwing
27
15
0
06 Aug 2021
Model-Based Opponent Modeling
Model-Based Opponent Modeling
Xiaopeng Yu
Jiechuan Jiang
Wanpeng Zhang
Haobin Jiang
Zongqing Lu
OffRL
29
28
0
04 Aug 2021
Distilling Reinforcement Learning Tricks for Video Games
Distilling Reinforcement Learning Tricks for Video Games
Anssi Kanervisto
Christian Scheller
Yanick Schraner
Ville Hautamaki
OffRL
VLM
8
5
0
01 Jul 2021
Scenic4RL: Programmatic Modeling and Generation of Reinforcement
  Learning Environments
Scenic4RL: Programmatic Modeling and Generation of Reinforcement Learning Environments
Abdus Salam Azad
Edward Kim
M. Wu
Kimin Lee
Ion Stoica
Pieter Abbeel
S. Seshia
12
7
0
18 Jun 2021
Contrastive Learning of Generalized Game Representations
Contrastive Learning of Generalized Game Representations
C. Trivedi
Antonios Liapis
Georgios N. Yannakakis
OCL
SSL
14
12
0
18 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
14
14
0
15 Jun 2021
Metric Policy Representations for Opponent Modeling
Metric Policy Representations for Opponent Modeling
Haobin Jiang
Yifan Yu
Zongqing Lu
16
1
0
10 Jun 2021
Unifying Behavioral and Response Diversity for Open-ended Learning in
  Zero-sum Games
Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games
Xiangyu Liu
Hangtian Jia
Ying Wen
Yaodong Yang
Yujing Hu
Yingfeng Chen
Changjie Fan
Zhipeng Hu
20
18
0
09 Jun 2021
MALib: A Parallel Framework for Population-based Multi-agent
  Reinforcement Learning
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning
Ming Zhou
Bo Liu
Hanjing Wang
Muning Wen
Runzhe Wu
Ying Wen
Yaodong Yang
Weinan Zhang
Jun Wang
OffRL
22
46
0
05 Jun 2021
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning
Chenghao Li
Tonghan Wang
Chengjie Wu
Qianchuan Zhao
Jun Yang
Chongjie Zhang
31
136
0
04 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
31
129
0
25 May 2021
Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team
  Composition
Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition
Bo Liu
Qiang Liu
Peter Stone
Animesh Garg
Yuke Zhu
Anima Anandkumar
33
49
0
18 May 2021
Agent-Centric Representations for Multi-Agent Reinforcement Learning
Agent-Centric Representations for Multi-Agent Reinforcement Learning
Wenling Shang
L. Espeholt
Anton Raichuk
Tim Salimans
EgoV
19
10
0
19 Apr 2021
GridToPix: Training Embodied Agents with Minimal Supervision
GridToPix: Training Embodied Agents with Minimal Supervision
Unnat Jain
Iou-Jen Liu
Svetlana Lazebnik
Aniruddha Kembhavi
Luca Weihs
A. Schwing
28
23
0
14 Apr 2021
Modelling Behavioural Diversity for Learning in Open-Ended Games
Modelling Behavioural Diversity for Learning in Open-Ended Games
Nicolas Perez Nieves
Yaodong Yang
Oliver Slumbers
D. Mguni
Ying Wen
Jun Wang
22
67
0
14 Mar 2021
Learning to Play Soccer From Scratch: Sample-Efficient Emergent
  Coordination through Curriculum-Learning and Competition
Learning to Play Soccer From Scratch: Sample-Efficient Emergent Coordination through Curriculum-Learning and Competition
Pavan Samtani
Francisco Leiva
Javier Ruiz-del-Solar
15
1
0
09 Mar 2021
The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games
The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games
Chao Yu
Akash Velu
Eugene Vinitsky
Jiaxuan Gao
Yu Wang
Alexandre M. Bayen
Yi Wu
OffRL
28
1,197
0
02 Mar 2021
Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent
  Learning Systems
Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems
Yaodong Yang
Jun Luo
Ying Wen
Oliver Slumbers
D. Graves
H. Ammar
Jun Wang
Matthew E. Taylor
21
35
0
15 Feb 2021
Data-driven Analysis for Understanding Team Sports Behaviors
Data-driven Analysis for Understanding Team Sports Behaviors
Keisuke Fujii
AI4TS
AI4CE
37
27
0
15 Feb 2021
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