Research Collection – Reinforcement Learning at Microsoft

Reinforcement learning is about agents taking information from the world and learning a policy for interacting with it, so that they perform better. So, you can imagine a future where, every time you type on the keyboard, the keyboard learns to understand you better. Or every time you interact with some website, it understands better what your preferences are, so the world just starts working better and better at interacting with people.

John Langford, Partner Research Manager, MSR NYC

Fundamentally, reinforcement learning (RL) is an approach to machine learning in which a software agent interacts with its environment, receives rewards, and chooses actions that will maximize those rewards. Research on reinforcement learning goes back many decades and is rooted in work in many

 

 

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