Can we build a generalist agent? Dr. Minqi Jiang and Dr. Marc Rigter
Machine Learning Street Talk (MLST)
00:00
Intro
This chapter discusses the potential of open-ended systems that generate complex data to enhance machine learning models. It highlights the challenges of self-improving systems, the importance of effective reward functions, and the concept of a versatile general agent operating across various environments.
Transcript
Play full episode
