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Jan, 2024
在摩擦任务中对有限理性人类代理采取强化学习干预
Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasks
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Eura Nofshin, Siddharth Swaroop, Weiwei Pan, Susan Murphy, Finale Doshi-Velez
TL;DR
引入行为模型强化学习(BMRL)框架,利用人类决策者的智能规划特性,通过个性化干预实现对摩擦性任务中基本行为的理解和对复杂行为的规划。
Abstract
Many important behavior changes are frictionful; they require individuals to expend effort over a long period with little immediate gratification. Here, an
artificial intelligence
(AI) agent can provide
personalized int
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