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Reward is enough to drive behaviour that exhibits abilities studied in natural and artificial intelligence, including knowledge, learning, perception, social ...
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This paper provides a set of polynomial-time algorithms that construct a Markov reward function that allows an agent to optimize tasks of each of these three ...
May 23, 2023 · In this article we hypothesise that intelligence, and its associated abilities, can be understood as subserving the maximisation of reward.
Accordingly, reward is enough to drive behaviour that exhibits abilities studied in natural and artificial intelligence, including knowledge, learning, ...
We hypothesize that the objective of maximizing reward is enough to drive behaviour that exhibits abilities studied in natural and artificial intelligence.
May 27, 2022 · "Reward Is Enough" is an interesting paper, less for its content, more for its place in the zeitgeist or something.
Jun 1, 2021 · In this paper we study convex MDPs in which goals are expressed as convex functions of the stationary distribution and show that they cannot be formulated ...
Reward is enough. from medium.com
Mar 2, 2022 · This paper proposes an intriguing hypothesis that incentivizing AI agents with reward is enough to achieve General Artificial Intelligence.
Accordingly, reward is enough to drive behaviour that exhibits abilities studied in natural and artificial intelligence, including knowledge, learning, ...