Udacity’s School of Artificial Intelligence has opened its new Deep Reinforcement Learning Nanodegree program for enrollment.
According to a Udacity blog post from Alexis Cook, content sead for Deep Reinforcement Learning at Udacity, the program traces its origin to March of 2016, when DeepMind’s AlphaGo stunned the world by defeating the world champion Go player Lee Sedol. As arguably the world’s most complex game, Go had long been a target for AI engineers, and this history-making victory was made possible by a branch of AI known as Deep Reinforcement Learning (DRL).
In simplest form, with DRL, computers actually teach themselves through trial-and-error, by testing various approaches to learn how to perform complex tasks. Put another way, Deep Reinforcement Learning is the closest we’ve yet come to achieving Artificial General Intelligence—AI that can learn and develop like a human does.
First introduced at Intersect earlier this year, and officially launched in conjunction with Unity’s more recent Unite Berlin 2018 conference, the new Deep Reinforcement Learning Nanodegree program is built in collaboration with Unity and the NVIDIA Deep Learning Institute. Through collaboration with these industry-leading companies, Udacity has built a curriculum with quality and depth. Students implement several deep reinforcement learning algorithms using a combination of Python and deep learning libraries, to build projects that will serve as portfolio pieces to demonstrate the advanced skills acquired.
Udacity’s program instructors and content developers bring to the table a wide range of industry and academic experience. Program colleagues come from companies including Google, NASA, and Motorola, and hold advanced degrees from institutions such as the University of California at Berkeley, Stanford, and Georgia Tech. To add an additional layer of dynamic support as you advance through the program, Udacity has also assembled an outstanding roster of talent to be its Experts-in-Residence, including:
- Arthur Juliani, Deep Learning Researcher at Unity
- Avilay Parekh, Principal Machine Learning Engineer at Unity
- Melody Guan, Machine Learning Ph.D. at Stanford University
- Peter Welinder, Research Scientist at OpenAI
- Vincent Gao, Software Engineer (Machine Learning) at Unity
Students in the program have the opportunity to connect directly with these experts during weekly office hours sessions.
Learn more at Udacity.com.