Artificial Intelligence By Example

The lessons of reinforcement learning

Unsupervised reinforcement machine learning, such as MDP and Bellman's equation, will topple traditional decision-making software in the next few years. Memoryless reinforcement learning requires few to no business rules and thus doesn't require human knowledge to run.

Being an adaptive AI thinker involves three requisites—the effort to be an SME, working on mathematical models, and understanding source code's potential and limits:

• Lesson 1: Machine learning through reinforcement learning can beat human intelligence in many cases. No use fighting! The technology and solutions are already here.
• Lesson 2: Machine learning has no emotions, but you do. And so do the people around you. Human emotions and ...