Plan, Activity, and Intent Recognition

Chapter 13

Using Opponent Modeling to Adapt Team Play in American Football

Kennard R. Laviers^a and Gita Sukthankar^b,    ^aAir Force Institute of Technology, Wright Patterson AFB, OH, USA, ^bUniversity of Central Florida, Orlando, FL, USA

Abstract

An issue with learning effective policies in multiagent adversarial games is that the size of the search space can be prohibitively large when the actions of both teammates and opponents are considered simultaneously. Opponent modeling, predicting an opponent’s actions in advance of execution, is one approach for selecting actions in adversarial settings, but it is often performed in an ad hoc way. This chapter introduces several methods for using opponent modeling, in the form of predictions about the ...