Sveriges mest populära poddar
Machine Learning: How Did We Get Here?
HistoriaTeknologi

Reinforcement Learning with Rich Sutton

34 min•16 mars 2026

Tom interviews Rich Sutton, Research Scientist at Keen Technologies, Professor of Computing Science at the University of Alberta and co-winner of the 2024 ACM Turing Award for his foundational research on reinforcement learning.

Rich discusses why the common framing of machine learning as 'supervised learning' is insufficient, and how reinforcement learning reframes the problem. He discusses how reinforcement learning has developed as a subfield of machine learning, the influence of Harry Kopf on his early thinking, his long-time collaboration with Andy Barto, his views about today's state of the art, and more.

Fler avsnitt av Machine Learning: How Did We Get Here?

Visa alla avsnitt av Machine Learning: How Did We Get Here?
Machine Learning Meets Statistics with Michael I. Jordan
•1 tim 1 min
Machine Learning Theory with Leslie Valiant
•21 min
Decision Tree Learning with Ross Quinlan
•24 min
The Chaotic Evolution of the Field with Tom Dietterich
•1 tim 5 min
A University and Corporate Perspective with Yann LeCun
•1 tim 21 min
Five Decades of Neural Networks with Geoffrey Hinton
•46 min
The History of Machine Learning with Tom Mitchell
•1 tim 8 min

Machine Learning: How Did We Get Here? med Tom Mitchell | Stanford Digital Economy Lab | Carnegie Mellon University finns tillgänglig på flera plattformar. Informationen på denna sida kommer från offentliga podd-flöden.