mccormick.northwestern.edu

ELEC_ENG 373, 473: Deep Reinforcement Learning from Scratch

Prior deep learning experience (e.g. ELEC_ENG/COMP_ENG 395/495 Deep Learning Foundations from Scratch ) and strong familiarity with the Python programming language. Python will be used for all coding ...
International Monetary Fund

Deep Reinforcement Learning: Emerging Trends in Macroeconomics and Future Prospects

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation The application of Deep Reinforcement Learning (DRL) in economics has been an area of active research in recent years. A ...
International Monetary Fund

AI and Macroeconomic Modeling: Deep Reinforcement Learning in an RBC model

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation This study seeks to construct a basic reinforcement learning-based AI-macroeconomic simulator. We use a deep RL (DRL) ...
Geeky Gadgets

Watch AI learn to walk using Deep Reinforcement Learning (DRL)

Deep Reinforcement Learning (DRL) is a subfield of machine learning that combines neural networks with reinforcement learning techniques to make decisions in complex environments. It has been applied ...
TechCrunch

Deep reinforcement learning will transform manufacturing as we know it

If you walk down the street shouting out the names of every object you see — garbage truck! bicyclist! sycamore tree! — most people would not conclude you are smart. But if you go through an obstacle ...
Forbes

Carrot And Stick: How Deep Reinforcement Learning Trains AI Differently

From its earliest days, artificial intelligence (AI) has captivated and enticed the business world with its potential ability to learn not only to imitate humans but to supersede our capabilities. As ...