Can we build a generalist agent? Dr. Minqi Jiang and Dr. Marc Rigter
Machine Learning Street Talk (MLST)
00:00
Navigating AI: From Imitation to Innovation
This chapter examines the shift in artificial intelligence towards simpler imitation-based methods in reinforcement learning, while addressing the challenges of extensive data reliance. It highlights the importance of self-improving systems, the complexities of modeling dynamics, and the need for adaptive learning strategies to succeed in dynamic environments.
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