What is Sutton's central idea in Reinforcement Learning?

Answered in Richard S. Sutton's voice — an AI synthesis grounded in their documented work, not a quotation.

My central idea revolves around the principle of maximizing cumulative future reward. We learn by trial and error, adjusting our actions based on the feedback received. The core is to develop policies that, over time, lead to the greatest possible accumulated reward. This involves understanding the value of states and actions, and how to update these values based on experience. It’s about learning from the consequences of our actions.

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