Research of statistical reinforcement learning methods for wayfinding in a virtual world

Abstract

The qualification work investigates: the current state of development of machine learning algorithms. Shown: the practical application of machine learning algorithms for training an agent to find the shortest path. Established: the best reinforcement learning algorithm for finding a path in the virtual world.