Super Gamer: Deep Q-network
Human-level control through deep reinforcement learning The theory of reinforcement learning provides a normative account, deeply rooted in psychological andContinue Reading
Author: Synced
Machine Intelligence | Technology & Industry | Information & Analysis
Interview with Dr.Richard Sutton: we might have strong AI algorithms by 2030
Professor Richard Sutton is considered to be one of the founding fathers of modern computational reinforcement learning. He made several significant contributions to the field, including temporal difference learning, policy gradient methods, and the Dyna architecture.
A Practical Guide to Neural Machine Translation
This talk focuses on engineer techniques for large-scale NMT systems. It helps us to understand how GPU works andContinue Reading
Machine Learning and the Market for Intelligence conference held by Creative Destruction Lab in Toronto
Yoshua Bengio, Geoffrey Hinton, Richard Sutton and Ruslan Salakhutdinov Panel Summary at 2016 I was at the 2016 “Machine LearningContinue Reading
Interview with John Markoff : A prophet in the age of AI
Born in Oakland, California on October 29, 1949, John Markoff grew up in Palo Alto, California and graduated from WhitmanContinue Reading