Game Agent Control using Action Sequence Search

Abstract

We apply the action sequence search framework using tree search methods, that has already been realized in the simulated soccer domain, to the action game agent control task. In order to realize the online action sequence planning using the framework, we try to design a suitable action space and evaluation function for the action game agent.