Leslie Kaelbling
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- Lex Fridman1h 1m
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15
MIT roboticist Leslie Kaelbling leverages her background in philosophy to advance artificial intelligence through hierarchical planning and partially observable Markov decision processes, arguing that symbolic and neural approaches are complementary rather than mutually exclusive. She addresses the field's current methodological crisis by advocating for structural biases in perception to reduce sample complexity and emphasizes that future safety risks stem primarily from objective misalignment rather than robot consciousness. Looking ahead, Kaelbling predicts cyclical waves of AI hype that will progressively raise technological standards while calling for a shift away from publication-driven incentives toward long-term engineering solutions.