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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
Negotiated Reasoning: On Provably Addressing Relative
  Over-Generalization
Negotiated Reasoning: On Provably Addressing Relative Over-Generalization
Junjie Sheng
Wenhao Li
Bo Jin
H. Zha
Jun Wang
Xiangfeng Wang
16
1
0
08 Jun 2023
Progression Cognition Reinforcement Learning with Prioritized Experience
  for Multi-Vehicle Pursuit
Progression Cognition Reinforcement Learning with Prioritized Experience for Multi-Vehicle Pursuit
Xinhang Li
Yiying Yang
Zheng Yuan
Zhe Wang
Qinwen Wang
Chen Xu
Lei Li
Jianhua He
Lin Zhang
20
2
0
08 Jun 2023
TorchRL: A data-driven decision-making library for PyTorch
TorchRL: A data-driven decision-making library for PyTorch
Albert Bou
Matteo Bettini
Sebastian Dittert
Vikash Kumar
Shagun Sodhani
Xiaomeng Yang
Gianni De Fabritiis
Vincent Moens
OffRL
AI4CE
22
37
0
01 Jun 2023
Adaptive Coordination in Social Embodied Rearrangement
Adaptive Coordination in Social Embodied Rearrangement
Andrew Szot
Unnat Jain
Dhruv Batra
Z. Kira
Ruta Desai
Akshara Rai
42
13
0
31 May 2023
Action valuation of on- and off-ball soccer players based on multi-agent
  deep reinforcement learning
Action valuation of on- and off-ball soccer players based on multi-agent deep reinforcement learning
Hiroshi Nakahara
Kazushi Tsutsui
K. Takeda
Keisuke Fujii
OffRL
43
9
0
29 May 2023
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
Yihe Zhou
Shunyu Liu
Yunpeng Qing
Kaixuan Chen
Tongya Zheng
Yanhao Huang
Jie Song
31
18
0
27 May 2023
Adaptive action supervision in reinforcement learning from real-world
  multi-agent demonstrations
Adaptive action supervision in reinforcement learning from real-world multi-agent demonstrations
Keisuke Fujii
Kazushi Tsutsui
Atom Scott
Hiroshi Nakahara
Naoya Takeishi
Yoshinobu Kawahara
29
6
0
22 May 2023
An Empirical Study on Google Research Football Multi-agent Scenarios
An Empirical Study on Google Research Football Multi-agent Scenarios
Yan Song
He Jiang
Zheng Tian
Haifeng Zhang
Yingping Zhang
Jiangcheng Zhu
Zonghong Dai
Weinan Zhang
Jun Wang
39
5
0
16 May 2023
More Like Real World Game Challenge for Partially Observable Multi-Agent
  Cooperation
More Like Real World Game Challenge for Partially Observable Multi-Agent Cooperation
Meng Yao
Xueou Feng
Qiyue Yin
16
0
0
15 May 2023
Stackelberg Decision Transformer for Asynchronous Action Coordination in
  Multi-Agent Systems
Stackelberg Decision Transformer for Asynchronous Action Coordination in Multi-Agent Systems
Bin Zhang
Hangyu Mao
Lijuan Li
Zhiwei Xu
Dapeng Li
Rui Zhao
Guoliang Fan
OffRL
33
5
0
13 May 2023
From Explicit Communication to Tacit Cooperation:A Novel Paradigm for
  Cooperative MARL
From Explicit Communication to Tacit Cooperation:A Novel Paradigm for Cooperative MARL
Dapeng Li
Zhiwei Xu
Bin Zhang
Guoliang Fan
46
7
0
28 Apr 2023
Games for Artificial Intelligence Research: A Review and Perspectives
Games for Artificial Intelligence Research: A Review and Perspectives
Chengpeng Hu
Yunlong Zhao
Ziqi Wang
Haocheng Du
Jialin Liu
AI4CE
35
13
0
26 Apr 2023
Mastering Asymmetrical Multiplayer Game with Multi-Agent
  Asymmetric-Evolution Reinforcement Learning
Mastering Asymmetrical Multiplayer Game with Multi-Agent Asymmetric-Evolution Reinforcement Learning
Chenglu Sun
Yi-cui Zhang
Yu Zhang
Ziling Lu
Jingbin Liu
Si-Qi Xu
Weidong Zhang
25
0
0
20 Apr 2023
Heterogeneous-Agent Reinforcement Learning
Heterogeneous-Agent Reinforcement Learning
Yifan Zhong
J. Kuba
Xidong Feng
Siyi Hu
Jiaming Ji
Yaodong Yang
20
36
0
19 Apr 2023
Embedding Contextual Information through Reward Shaping in Multi-Agent
  Learning: A Case Study from Google Football
Embedding Contextual Information through Reward Shaping in Multi-Agent Learning: A Case Study from Google Football
Chaoyi Gu
V. D. Silva
Corentin Artaud
Rafael Pina
16
1
0
25 Mar 2023
NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for
  Cooperative and Competitive Multi-Robot Tasks
NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks
Guangzhen Hu
Haoran Li
Shasha Liu
Mingjun Ma
Yuanheng Zhu
Dongbin Zhao
OffRL
34
6
0
22 Mar 2023
A Survey of Demonstration Learning
A Survey of Demonstration Learning
André Rosa de Sousa Porfírio Correia
Luís A. Alexandre
OffRL
36
17
0
20 Mar 2023
Model-Based Decentralized Policy Optimization
Model-Based Decentralized Policy Optimization
Hao Luo
Jiechuan Jiang
Zongqing Lu
21
0
0
16 Feb 2023
TiZero: Mastering Multi-Agent Football with Curriculum Learning and
  Self-Play
TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play
Fanqing Lin
Shiyu Huang
Tim Pearce
Wenze Chen
Weijuan Tu
26
17
0
15 Feb 2023
Order Matters: Agent-by-agent Policy Optimization
Order Matters: Agent-by-agent Policy Optimization
Xihuai Wang
Zheng Tian
Bo Liu
Ying Wen
Jun Wang
Weinan Zhang
25
26
0
13 Feb 2023
Learning cooperative behaviours in adversarial multi-agent systems
Learning cooperative behaviours in adversarial multi-agent systems
Ni Wang
Gautham P. Das
Alan G. Millard
14
0
0
10 Feb 2023
Towards Skilled Population Curriculum for Multi-Agent Reinforcement
  Learning
Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning
R. Wang
Longtao Zheng
Wei Qiu
Bowei He
Bo An
Zinovi Rabinovich
Yujing Hu
Yingfeng Chen
Tangjie Lv
Changjie Fan
33
1
0
07 Feb 2023
NeuronsGym: A Hybrid Framework and Benchmark for Robot Tasks with
  Sim2Real Policy Learning
NeuronsGym: A Hybrid Framework and Benchmark for Robot Tasks with Sim2Real Policy Learning
Haoran Li
Shasha Liu
Mingjun Ma
Guangzheng Hu
Yaran Chen
Dong Zhao
27
3
0
07 Feb 2023
Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent
  Deep Reinforcement Learning via Multi-Timescale Learning
Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning
Hadi Nekoei
Akilesh Badrinaaraayanan
Amit Sinha
Mohammad Amini
Janarthanan Rajendran
Aditya Mahajan
Sarath Chandar
31
13
0
06 Feb 2023
Best Possible Q-Learning
Best Possible Q-Learning
Jiechuan Jiang
Zongqing Lu
OffRL
22
5
0
02 Feb 2023
Partitioning Distributed Compute Jobs with Reinforcement Learning and
  Graph Neural Networks
Partitioning Distributed Compute Jobs with Reinforcement Learning and Graph Neural Networks
Christopher W. F. Parsonson
Zacharaya Shabka
Alessandro Ottino
G. Zervas
34
0
0
31 Jan 2023
DIFFER: Decomposing Individual Reward for Fair Experience Replay in
  Multi-Agent Reinforcement Learning
DIFFER: Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning
Xu Hu
Jian Zhao
Wen-gang Zhou
Ruili Feng
Houqiang Li
37
1
0
25 Jan 2023
Heterogeneous Multi-Robot Reinforcement Learning
Heterogeneous Multi-Robot Reinforcement Learning
Matteo Bettini
Ajay Shankar
Amanda Prorok
22
40
0
17 Jan 2023
Emergent collective intelligence from massive-agent cooperation and
  competition
Emergent collective intelligence from massive-agent cooperation and competition
H. Chen
Stone Tao
Jiaxin Chen
Weihan Shen
Xihui Li
Chenghui Yu
Sikai Cheng
Xiaolong Zhu
Xiu Li
13
4
0
04 Jan 2023
On Transforming Reinforcement Learning by Transformer: The Development
  Trajectory
On Transforming Reinforcement Learning by Transformer: The Development Trajectory
Shengchao Hu
Li Shen
Ya-Qin Zhang
Yixin Chen
Dacheng Tao
OffRL
27
25
0
29 Dec 2022
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement
  Learning
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning
Benjamin Ellis
Jonathan Cook
S. Moalla
Mikayel Samvelyan
Mingfei Sun
Anuj Mahajan
Jakob N. Foerster
Shimon Whiteson
19
83
0
14 Dec 2022
Hierarchical Strategies for Cooperative Multi-Agent Reinforcement
  Learning
Hierarchical Strategies for Cooperative Multi-Agent Reinforcement Learning
M. Ibrahim
Ammar Fayad
24
1
0
14 Dec 2022
Towards a more efficient computation of individual attribute and policy
  contribution for post-hoc explanation of cooperative multi-agent systems
  using Myerson values
Towards a more efficient computation of individual attribute and policy contribution for post-hoc explanation of cooperative multi-agent systems using Myerson values
Giorgio Angelotti
Natalia Díaz Rodríguez
15
7
0
06 Dec 2022
ACE: Cooperative Multi-agent Q-learning with Bidirectional
  Action-Dependency
ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency
Chuming Li
Jie Liu
Yinmin Zhang
Yuhong Wei
Yazhe Niu
Yaodong Yang
Y. Liu
Wanli Ouyang
46
23
0
29 Nov 2022
A Reinforcement Learning Badminton Environment for Simulating Player
  Tactics (Student Abstract)
A Reinforcement Learning Badminton Environment for Simulating Player Tactics (Student Abstract)
Li Huang
Nai-Zen Hseuh
Yen-Che Chien
Wei-Yao Wang
Kuang-Da Wang
Wenxia Peng
OffRL
32
5
0
22 Nov 2022
Reward Gaming in Conditional Text Generation
Reward Gaming in Conditional Text Generation
Richard Yuanzhe Pang
Vishakh Padmakumar
Thibault Sellam
Ankur P. Parikh
He He
35
24
0
16 Nov 2022
Progress and summary of reinforcement learning on energy management of
  MPS-EV
Progress and summary of reinforcement learning on energy management of MPS-EV
Jincheng Hu
Yang Lin
Liang Chu
Zhuoran Hou
Jihan Li
Jingjing Jiang
Yuanjian Zhang
18
11
0
08 Nov 2022
Graph-Based Multi-Camera Soccer Player Tracker
Graph-Based Multi-Camera Soccer Player Tracker
J. Komorowski
Grzegorz Kurzejamski
27
3
0
03 Nov 2022
Teacher-student curriculum learning for reinforcement learning
Teacher-student curriculum learning for reinforcement learning
Yanick Schraner
OffRL
37
2
0
31 Oct 2022
Classifying Ambiguous Identities in Hidden-Role Stochastic Games with
  Multi-Agent Reinforcement Learning
Classifying Ambiguous Identities in Hidden-Role Stochastic Games with Multi-Agent Reinforcement Learning
Shijie Han
Siyuan Li
Bo An
Wei Zhao
P. Liu
32
0
0
24 Oct 2022
Group Distributionally Robust Reinforcement Learning with Hierarchical
  Latent Variables
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables
Mengdi Xu
Peide Huang
Yaru Niu
Visak C. V. Kumar
Jielin Qiu
...
Kuan-Hui Lee
Xuewei Qi
H. Lam
Bo-wen Li
Ding Zhao
OOD
62
9
0
21 Oct 2022
PTDE: Personalized Training with Distilled Execution for Multi-Agent
  Reinforcement Learning
PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning
Yiqun Chen
Hangyu Mao
Jiaxin Mao
Shiguang Wu
Tianle Zhang
Bin Zhang
Bin Wang
Hong Chang
OffRL
36
7
0
17 Oct 2022
Rethinking Trajectory Prediction via "Team Game"
Rethinking Trajectory Prediction via "Team Game"
Zikai Wei
Xinge Zhu
Bo Dai
Dahua Lin
AI4CE
22
0
0
17 Oct 2022
MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning
  Library
MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library
Siyi Hu
Yifan Zhong
Minquan Gao
Weixun Wang
Hao Dong
Xiaodan Liang
Zhihui Li
Xiaojun Chang
Yaodong Yang
15
14
0
11 Oct 2022
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward
Zixian Ma
Rose E. Wang
Li Fei-Fei
Michael S. Bernstein
Ranjay Krishna
21
16
0
09 Oct 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 Games
Hui Bai
R. Shen
Yue Lin
Bo Xu
Ran Cheng
VLM
31
5
0
21 Sep 2022
Honor of Kings Arena: an Environment for Generalization in Competitive
  Reinforcement Learning
Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning
Hua Wei
Jingxiao Chen
Xiyang Ji
Hongyang Qin
Minwen Deng
...
Lin Liu
Lanxiao Huang
Deheng Ye
Qiang Fu
Wei Yang
35
27
0
18 Sep 2022
Red Teaming with Mind Reading: White-Box Adversarial Policies Against RL
  Agents
Red Teaming with Mind Reading: White-Box Adversarial Policies Against RL Agents
Stephen Casper
Taylor Killian
Gabriel Kreiman
Dylan Hadfield-Menell
AAML
22
1
0
05 Sep 2022
Towards Global Optimality in Cooperative MARL with the Transformation
  And Distillation Framework
Towards Global Optimality in Cooperative MARL with the Transformation And Distillation Framework
Jianing Ye
Chenghao Li
Jianhao Wang
Chongjie Zhang
42
2
0
12 Jul 2022
Offline Equilibrium Finding
Offline Equilibrium Finding
Shuxin Li
Xinrun Wang
Youzhi Zhang
Jakub Cerny
Pengdeng Li
Hau Chan
Bo An
OffRL
43
2
0
12 Jul 2022
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