Construct · 1 fields · 1 citations

reward-is-enough hypothesis: a standalone construct

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Reinforcement learning

the hypothesis that maximizing reward in a rich environment is sufficient to drive the emergence of intelligence and its associated abilities.

In reinforcement learning, reward-is-enough hypothesis refers to the hypothesis that maximizing reward in a rich environment is sufficient to drive the emergence of intelligence and its associated abilities. This meaning comes from Silver (2021) in Artificial Intelligence.[1]

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Nearby constructs

drive2 fields · 2 citationsjingle · one word, two constructs emergence5 fields · 12 citationsjingle · one word, five constructs environment1 fields · 2 citationsanchor · a standalone construct

References

Silver, D., Singh, S., Precup, D., & Sutton, R. S. (2021). Reward is enough. Artificial Intelligence, 299, 103535. https://doi.org/10.1016/j.artint.2021.103535

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