TalkRL: The Reinforcement Learning Podcast Aravind Srinivas
Sep 21, 2020
Aravind Srinivas, a PhD student at UC Berkeley, discusses the importance of learning better representations of data. They explore Contrastive Predictive Coding (CPC) and its applications, contrastive learning in reinforcement learning, encoding frames, the evolution of unsupervised learning, ongoing projects in the lab, and reinforcement learning papers and industry developments.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7
Introduction
00:00 • 3min
Contrastive Predictive Coding (CPC) and its Applications
03:11 • 16min
Contrastive Learning in Reinforcement Learning
19:17 • 16min
Contrastive Learning and Encoding Frames
35:25 • 8min
The Evolution of Unsupervised Learning
43:52 • 31min
Ongoing Projects in the Lab
01:14:50 • 7min
Reinforcement Learning Papers and Industry Developments
01:21:26 • 4min