DataFunTalk
Nov 30, 2024 · Artificial Intelligence
Interview with Rich Sutton on Continuous Learning, Reinforcement Learning, and the Future of AI
In this extensive interview, Rich Sutton critiques the focus on transient deep learning, advocates for continuous learning, discusses the reward hypothesis, outlines research challenges, offers advice to emerging scholars, and predicts breakthroughs in AI understanding by 2030‑2040.
AI researchcontinuous learningfuture of AI
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