Research Horizons
Leslie expresses concern over the overwhelming number of machine learning papers being published, emphasizing the need for a longer research horizon. She reflects on the value of taking time to deeply explore complex problems, contrasting it with the current trend of rapid publication that may hinder thorough research. The conversation highlights the importance of balancing excitement in publishing with the necessity for depth in academic work.In this clip
From this podcast
Lex Fridman Podcast
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15
Related Questions
How do experts evaluate scientific papers as discussed in the episode Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 and the clip Research Horizons?
How do experts evaluate scientific papers in the context of the episode Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 and the clip Research Horizons?
Are reviewers incentivized enough in the context of the episode Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 and the clip Research Horizons?