Research Article

Team Sports for Game AI Benchmarking Revisited

Table 4

Action space property. Does the agent have many microlevel actions available?

Yes, several: movement, different ball actions (shooting, dribbling, header—most of them are parameterized);
also specific actions for interaction with other agents (e.g., fouls and tackles).

Yes, very often the action space is growing during the game as new actions become available; it is slightly higher
than for team sports at the start, with a low number of agent-specific actions.

Action space is dynamically growing, but this is less emphasized and not available for all unit types; movement
action space is quite limited, and certain actions such as shooting are often done automatically.