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- W2949923637 abstract "What is happiness for reinforcement learning agents? We seek a formal definition satisfying a list of desiderata. Our proposed definition of happiness is the temporal difference error, i.e. the difference between the value of the obtained reward and observation and the agent's expectation of this value. This definition satisfies most of our desiderata and is compatible with empirical research on humans. We state several implications and discuss examples." @default.
- W2949923637 created "2019-06-27" @default.
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- W2949923637 date "2015-05-18" @default.
- W2949923637 modified "2023-09-27" @default.
- W2949923637 title "A Definition of Happiness for Reinforcement Learning Agents" @default.
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- W2949923637 hasPublicationYear "2015" @default.
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