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Improving Human Sequential Decision-Making with Reinforcement Learning
March 20, 2024, 4:43 a.m. | Hamsa Bastani, Osbert Bastani, Wichinpong Park Sinchaisri
cs.LG updates on arXiv.org arxiv.org
Abstract: Workers spend a significant amount of time learning how to make good decisions. Evaluating the efficacy of a given decision, however, can be complicated -- e.g., decision outcomes are often long-term and relate to the original decision in complex ways. Surprisingly, even though learning good decision-making strategies is difficult, they can often be expressed in simple and concise forms. Focusing on sequential decision-making, we design a novel machine learning algorithm that is capable of extracting …
abstract arxiv cs.hc cs.lg decision decisions good however human long-term making reinforcement reinforcement learning spend strategies type workers
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