Reinforcement Learning Tool | AI + Machine Learning

FlexSim 2022 brings more functionality for AI and Machine Learning. The new Reinforcement Learning tool allows you to use a FlexSim model as an environment for training and evaluating reinforcement learning algorithms.

This tool provides features needed for a reinforcement learning algorithm to communicate with FlexSim. You’ll find a simple yet powerful interface for both training the algorithm and using the AI-trained model in a real production environment. The Reinforcement Learning tool is also flexible enough to be able to interface with any machine learning environment you’d like.

If you’re ready to get started with reinforcement learning, check the link in the distribution for a complete tutorial in the FlexSim documentation. You will set up a pre-built algorithm that will learn to minimize changeover times as it figures out which item to pull next. Once you’re finished with the example you’ll have a trained reinforcement learning model, and you’ll be able to evaluate the AI’s decisions in your simulation environment and even use the trained AI to make predictions.

Thanks for watching, and we hope you will choose FlexSim for your next AI and Machine Learning project.