Princeton University

The Neuroscience of Reinforcement Learning

One of the most influential contributions of machine learning to understanding the human brain is the (fairly recent) formulation of learning in real world tasks in terms of the computational ...
gamedev

Reinforcement Learning for Games

This article assumes that the reader already knows what neural networks are and how they operate. If you do not know what neural networks are, I recommend trying out the great tutorials at AI Junkie.
Concordia University

From Control Theory to Reinforcement Learning: A Unified Tutorial

In this talk, we provide an overview of sequential decision-making. We first review Markov decision processes and dynamic programming, which recast optimization over time into a sequence of nested one ...
The Conversation

What is reinforcement learning? An AI researcher explains a key method of teaching machines – and how it relates to training your dog

Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to learn from experience is a cornerstone of intelligence for machines and living ...
Princeton University

The Neuroscience of Reinforcement Learning

One of the most influential contributions of machine learning to understanding the human brain is the (fairly recent) formulation of learning in real world tasks in terms of the computational ...