wrnch* helps computers make connections between what they see and know, teaching them to understand human motion and body language.
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.