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

Authors

  • Marat Urmanov Author
  • Madina Alimanova Author

DOI:

https://doi.org/10.47344/xp0v6x77

Keywords:

Computer Science, Game Development, Artificial Intelligence, Machine Learning, Unity

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

Downloads

Published

2020-06-17

Issue

Vol. 52 No. 1 (2020): SDU Bulletin: Natural and Technical Sciences

Section

Статьи

How to Cite

Urmanov, M., & Alimanova, M. (2020). TRAINING A SINGLE MACHINE LEARNING AGENT USING REINFORCEMENT LEARNING AND IMITATION LEARNING METHODS IN UNITY ENVIRONMENT. Journal of Emerging Technologies and Computing, 52(1). https://doi.org/10.47344/xp0v6x77