Since the popularisation of the Internet in the 1990s, the cyberspace has kept evolving. We
have created various computer-mediated virtual environments including social networks …

The growing interest in the metaverse has led to an abundance of platforms, each with its
own unique features and limitations. This paper's objective is two-fold. First, we aim at …

We aim to understand how people assess human likeness in navigation produced by
people and artificially intelligent (AI) agents in a video game. To this end, we propose a …

Reinforcement learning is an area of Machine Learning. The three primary types of machine
learning are supervised learning, unsupervised learning, and reinforcement learning (RL) …

The world has seen major developments in the field of e‐learning and distance learning,
especially during the COVID‐19 crisis, which revealed the importance of these two types of …

We use reinforcement learning to tackle the problem of untangling braids. We experiment
with braids with 2 and 3 strands. Two competing players learn to tangle and untangle a …

Neuroevolution represents a growing research field in Artificial and Computational
Intelligence. The adjustment of the network weights and the topology is usually based on a …

Video games mimic real-world situations and they can be used as a benchmark to evaluate
computational methods in solving different types of problems. Also, machine learning …

The study of Artificial Intelligence and, more specifically, Machine learning in games is of
great interest to the gaming industry due to their wide application in several scenarios and …

Artificial intelligence algorithms are taking important roleplays in online recommendation
models for achieving a high probability of success and these systems are slowly occupying …