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Comment on Google Research Football: A Novel Reinforcement Learning Environmentparent

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Modeled after popular football video games, the Football Environment provides a physics based 3D football simulation where agents control either one or all football players on their team, learn how to pass between them, and manage to overcome their opponent’s defense in order to score goals.

It looks like the AI agent can control one or all of the players on their team.

You are right! From the paper:

by default, our non-active players are also controlled by another rule-based bot. In this case, the behavior is simple and corresponds to reasonable football actions and strategies, such as running towards the ball when we are not in possession, or move forward together with our active player. In particular, this type of behavior can be turned off for future research on cooperative multi-agents if desired.
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