Autonomous systems design steps

Key elements for designing and deploying a successful reinforcement learning-trained AI solution with Microsoft Project Bonsai

Deep Reinforcement Learning (DRL) techniques have allowed deep neural networks (DNN) based AI to move from theoretical concepts in the research lab to real-life, business solutions. Although tools such as the Microsoft Project Bonsai toolchain have tremendously streamlined, accelerated, and simplified the design, training, and deployment of Autonomous Systems AI agents, it does not mean they suddenly became simple…

supervised learning vs. DRL

Understanding the difference between supervised and reinforcement learning for deep neural networks

The traditional AI training method is rarely applicable in real-life business use cases simply because it requires an amount of data seldom available to businesses. Using the self-training mechanism of deep reinforcement learning,…