Deep neural networks (DNNs) have evolved as a beneficial machine learning method that
has been successfully used in various applications. Currently, DNN is a superior technique …

Georgios N. Yannakakis Julian Togelius Page 1 Artificial Intelligence and Games Georgios N.
Yannakakis Julian Togelius Page 2 Artificial Intelligence and Games Page 3 Georgios N …

In this paper, we review recent deep learning advances in the context of how they have
been applied to play different types of video games such as first-person shooters, arcade …

Deep learning (DL) has become an important machine learning approach that has been
widely successful in many applications. Currently, DL is one of the best methods of …

In general, games pose interesting and complex problems for the implementation of
intelligent agents and are a popular domain in the study of artificial intelligence. In fact …

A variety of Reinforcement Learning (RL) techniques blends with one or more techniques
from Evolutionary Computation (EC) resulting in hybrid methods classified according to their …

The real-time strategy game StarCraft has proven to be a challenging environment for
artificial intelligence techniques, and as a result, current state-of-the-art solutions consist of …

We address the problem of playing turn-based multiaction adversarial games, which include
many strategy games with extremely high branching factors as players take multiple actions …

Turn-based multi-action adversarial games are games in which each player turn consists of
a sequence of atomic actions, resulting in an extremely high branching factor. Many strategy …

Artificial Intelligence (AI) has made great progress in recent years, and it is unlikely to
become less important in the future. Besides, it would also be an understatement that the …