This article will show game developers how to use reinforcement learning to create better artificial intelligence (AI) behavior. Using Intel® Distribution for Python—an improved version of the popular object-oriented, high-level programming language—readers will glean how to train pre-existing machine-language (ML) agents to learn and adapt. In this scenario, we will use Intel® Optimization for...
In the final part of this two-part series on machine learning with Unity* ML-Agents, we will dig deeper into the architecture and create an ML-Agent from scratch. Before training, we will inspect the files that require parameters for machine learning to proceed. Finally, we will train the agent using Intel® optimized Python* and show how the completed system works.
The 4x4-inch Intel NUC is a prime example of how an innovative project in unexpected fields in entertainment and gaming industry can become a reality