TRAINING A SINGLE MACHINE LEARNING AGENT USING REINFORCEMENT LEARNING AND IMITATION LEARNING METHODS IN UNITY ENVIRONMENT

Abstract

This paper provides a research of Unity plugin that helps to develop Machine Learning Agents within Unity engine environment. This work introduces training a single Machine Learning Agent using both Reinforcement Learning and Imitation Learning methods, comparing the results and effectiveness.