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 ...
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 ...
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 ...
InfoWorld

What is deep reinforcement learning: The next step in AI and deep learning

Reinforcement learning is well-suited for autonomous decision-making where supervised learning or unsupervised learning techniques alone can’t do the job Reinforcement learning has traditionally ...