This article is published by AllBusiness.com, a partner of TIME. What is "Reinforcement Learning"? Reinforcement Learning (RL) is a type of machine learning where a model learns to make decisions by ...

At the core of reinforcement learning is the concept that the optimal behavior or action is reinforced by a positive reward. Similar to toddlers learning how to walk who adjust actions based on the ...

Machine learning is a branch of computer science that teaches computers to 'learn' patterns from data instead of being programmed step by step. Think of it like this: instead of telling a computer ...

Reinforcement learning algorithms help AI reach goals by rewarding desirable actions. Real-world applications, like healthcare, can benefit from reinforcement learning's adaptability. Initial setup ...

Reinforcement Learning (RL) is a type of machine learning where a model learns to make decisions by interacting with an environment. Unlike supervised learning, where ...

A trial-and-error machine learning technique used in applications such as robotics, self-driving cars and gaming. Reinforcement learning enables an AI agent to make ...