Rich Sutton
Rich Sutton is a Canadian computer scientist and one of the founding figures of reinforcement learning. He is best known for formulating The Bitter Lesson and for his foundational contributions to the theoretical framework of reinforcement learning.
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Rich Sutton proposed two claims: 'Reward is Enough' and 'The Bitter Lesson'.
Rich Sutton argued in 'The Bitter Lesson' that approaches which hard-code human knowledge into systems will ultimately always be surpassed by general methods that fully leverage computational scale.
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In an article titled "The Bitter Lesson" published in 2019, Sutton argued that almost all AI methods relying on human domain knowledge have ultimately been surpassed by general methods that scale with compute.
65%UnverifiedRich Sutton proposed two claims: 'Reward is Enough' and 'The Bitter Lesson'.
50%UnverifiedRich Sutton argued in 'The Bitter Lesson' that approaches which hard-code human knowledge into systems will ultimately always be surpassed by general methods that fully leverage computational scale.
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