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Learning from a reward ten years away is a solved problem: a value function trained by temporal-difference learning rewards the steps along the way.

Drawn from what Richard Sutton said

What this subject means

reinforcement learning Training by reward: environments, verifiable tasks, value functions, and whether it works or merely beats what came before.

What Richard Sutton actually said

  1. Richard Sutton Computer scientist who founded the field of reinforcement learning
    when you learn to play chess you have the grand the long-term goal is winning the game and yet you you can't you um you want to be able to learn from shorter term things like you know taking the your opponent's pieces um and so you do that by having a value function which predicts the long-term outcome

    Watch from 0:28:39 plays here

    ↗Richard Sutton – Father of RL thinks LLMs are a dead endyoutube.com

    26 Sept 2025 · video · 1h 07m · spoken · machine transcript

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