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This short episode is a narration of Richard Sutton's The Bitter Lesson.
Richard Sutton is a distinguished research scientist at DeepMind and a professor of computing science at the University of Alberta. He is considered one of the founders of modern computational reinforcement learning, having several significant contributions to the field, including temporal difference learning and policy gradient methods.
If you haven't yet read his piece, it is definitely worth reading. This episode is a narration of it.
I would like to invite more discussion about these thoughts, so if you know of anybody who would like to discuss them, please send me to me at [email protected].
You can read the article here: http://www.incompleteideas.net/IncIdeas/BitterLesson.html
This short episode is a narration of Richard Sutton's The Bitter Lesson.
Richard Sutton is a distinguished research scientist at DeepMind and a professor of computing science at the University of Alberta. He is considered one of the founders of modern computational reinforcement learning, having several significant contributions to the field, including temporal difference learning and policy gradient methods.
If you haven't yet read his piece, it is definitely worth reading. This episode is a narration of it.
I would like to invite more discussion about these thoughts, so if you know of anybody who would like to discuss them, please send me to me at [email protected].
You can read the article here: http://www.incompleteideas.net/IncIdeas/BitterLesson.html