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Planning Under Uncertainty

Leslie discusses the inherent challenges of planning in uncertain environments, emphasizing that many problems in AI are intractable. Despite the complexity, she highlights the importance of understanding these challenges to develop practical approximations. By embracing bounded optimality, AI practitioners can navigate the computational difficulties and find workable solutions.
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    Lex Fridman Podcast

    Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15

  • Related Questions

    • What are the limitations and issues with probabilistic thinking as discussed in the episode Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 and the clip Planning Under Uncertainty?

    • Can you give examples of issues with probabilistic AI as discussed in the episode Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 and the clip Planning Under Uncertainty?

    • Can you elaborate on daily planning in the context of multiscale planning as discussed in the episode Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 and the clip Hierarchical Reasoning?

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