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.In this clip
From this podcast
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?