All Segments
What Chess Teaches Us About Reinforcement Learning - Richard Sutton
2 segments available
Segments Timeline
The Long Game in Startups
Richard Sutton discusses the concept of long-term rewards in startups, comparing it to the learning process in chess. He explains how humans can break down a decade-long goal into intermediate steps, similar to how chess players learn from immediate actions like capturing pieces to achieve the ultimate goal of winning. This segment emphasizes the importance of understanding short-term actions that contribute to long-term success.
"Suppose a human is trying to make a startup and this is a thing which has a reward on the order of 10 years. Once in 10 years you might have an exit where you get you know paid out a billion dollars. ..."
The Long Game in Startups
Richard Sutton discusses the concept of long-term rewards in startups, comparing it to the learning process in chess. He emphasizes how humans can break down a decade-long goal into intermediate steps, similar to how chess players learn from short-term actions like capturing pieces. This segment highlights the importance of understanding the relationship between immediate actions and long-term outcomes in both entrepreneurship and reinforcement learning.
"Suppose a human is trying to make a startup and this is a thing which has a reward on the order of 10 years. Once in 10 years you might have an exit where you get you know paid out a billion dollars. ..."