This survey provides an overview of popular pathfinding algorithms and techniques based
on graph generation problems. We focus on recent developments and improvements in …

Monte Carlo tree search (MCTS) is a recently proposed search method that combines the
precision of tree search with the generality of random sampling. It has received considerable …

The rapid development of complex virtual worlds (most notably, in 3D computer and video
games) introduces new challenges for the creation of virtual agents, controlled by artificial …

In this work, we propose a novel implementation of Monte-Carlo Tree Search (MCTS)
algorithm to solve a multiagent pathfinding (MAPF) problem. We employ an optimization of …

The rapid development of complex virtual worlds (most notably, in 3D computer and video
games) introduces new challenges for the creation of virtual agents, controlled by Artificial …

This paper introduces a novel path planning technique called MCRT which is aimed at non-
deterministic, partially known, real-time domains populated with dynamically moving …

In this paper we investigate the use of Monte Carlo Tree Search (MCTS) on the Physical
Travelling Salesman Problem (PTSP), a real-time game where the player navigates a ship …

The security threats to mobile devices are growing exponentially as the degree of
sophistication for these smart devices increase. Mobile devices are not only used for phone …

Real-time strategy games rely on artificial intelligence to provide immersive experiences,
along with challenging and intelligent opponents for the player. The techniques that enable …

Technological advancements in autonomous robotics, including autonomous vehicles, have
created new opportunities for innovative solutions to many everyday challenges. The impact …