General Video Game for 2 players: Framework and competition

This paper presents a new track of the General Video Game AI competition for generic Artificial Intelligence agents, which features both competitive and cooperative real time stochastic two player games. The aim of the competition is to directly test agents against each other in more complex and dynamic environments, where there is an extra uncertainty in a game, consisting of the behaviour of the other player. The framework, server functionality and general competition setup are analysed and the results of the experiments with several sample controllers are presented. The results indicate that currently Open Loop Monte Carlo Tree Search is the overall leading algorithm on this set of games.