
#144 – Michael Littman: Reinforcement Learning and the Future of AI
Lex Fridman Podcast
00:00
Journey Through AI and Reinforcement Learning
In this chapter, the speaker recounts their personal experiences with artificial intelligence and reinforcement learning, starting from their childhood programming interests to their academic journey in the 1980s. The discussion explores the historical significance of reinforcement learning, including pivotal algorithms like temporal difference and Q-learning, while reflecting on the importance of human expertise in shaping machine learning technologies. Additionally, the chapter touches on the evolution of cognitive psychology's relationship with AI and the nuances of optimization within computer science.
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