The Conference on Games Football AI Competition use the multi-agent scenarios of the Google Research Football (GRF) simulators as the testbed. The GRF simulator bears great similarity to well-known football games like FIFA and REAL Football, vividly modelling the dynamics of the ball and player movement as well as their interaction such as passing, shooting, etc. The competition focuses on the full-game scenario built on GRF simulator where two teams of players compete for goals on the pitch.
The competition will be held on Jidi platform which offers online evaluation of submitted policies on various simulated environments and holds Kaggle-like customized competitions. Regarding the scale of the game, the GRF competition has two tracks as two separate contests, one easy track using the 5vs5 multi-agent full-game scenario and one hard track using the 11vs11 multi-agent full-game scenario.
In the 5_vs_5 multi-agent scenario, each team has four controllable player plus one goal-keeper controlled by the built-in AI. The duration of the game is 3000 discrete time-steps cooresponding to 90 minutes in a real football match. The observation for each player contains information of both the teammates and the opponents, as well as the state of the ball. Based on the provided information, each individual player can either move or make specific actions such as ball-passing or ball-shooting. The goal of each team is to control all of its players, organize team offense and defense and win the game by scoring more than the other team. Expectedly, a strong participant is required to demonstrate sophisticated football skills and counter opponents' tactics in such a complex competitive tasks.
In the 11_vs_11 multi-agent scenario, each team has ten controllable player plus one goal-keeper controlled by the built-in AI. The duration of the game is 3000 discrete time-steps cooresponding to 90 minutes in a real football match. The observation for each player contains information of both the teammates and the opponents, as well as the state of the ball. Based on the provided information, each individual player can either move or make specific actions such as ball-passing or ball-shooting. The goal of each team is to control all of its players, organize team offense and defense and win the game by scoring more than the other team. Expectedly, a strong participant is required to demonstrate sophisticated football skills and counter opponents' tactics in such a complex competitive tasks.
$ 500
(sponsored by the IEEE CIS Education Competition Subcommittee)
We provide Jidi tutorial and source code for the competition
Associate Professor at Institute of Automation, Chinese Academy of Sciences
Nanjing Artificial Intelligence Research of IA
Email: haifeng.zhang@ia.ac.cn
Software Engineer at Institute of Automation, Chinese Academy of Sciences
Email: yan.song@ia.ac.cn
Software Engineer at Institute of Automation, Chinese Academy of Sciences
Email: yahui.cui@ia.ac.cn