Nowadays Artificial intelligence and machine learning offer unique opportunities and challenges for automating complex industrial systems. And a new paradigm is arriving to help us accomplish that, I am talking about “Machine teaching”. MT helps us to build ML systems, by moving the focus away from algorithms and onto successful model generation and deployment.
Machine teaching infuses subject matter expertise into automated AI system training …with deep reinforcement learning (DRL) and simulations. Abstracting away AI complexity to focus on subject matter expertise and real-world conditions creates models that turn automated control systems into autonomous systems.
When we talk about reinforcement learning we can talk about how we want to train an agent to accomplish some task. Let’s try to understand better how things work…. in this example, an agent can be a car, a drone, a robot, etc…. and that agent is going to interact with the
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