How to bring reinforcement learning to the real world
bdtechtalks.substack.com
Labor- and data-efficiency remain two of the key challenges of artificial intelligence. In recent decades, researchers have proven that big data and machine learning algorithms reduce the need for providing AI systems with prior rules and knowledge. But machine learning—and more recently deep learning—have presented their own challenges, which require manual labor albeit of different nature.
How to bring reinforcement learning to the real world
How to bring reinforcement learning to the…
How to bring reinforcement learning to the real world
Labor- and data-efficiency remain two of the key challenges of artificial intelligence. In recent decades, researchers have proven that big data and machine learning algorithms reduce the need for providing AI systems with prior rules and knowledge. But machine learning—and more recently deep learning—have presented their own challenges, which require manual labor albeit of different nature.