منابع مشابه
The postdoctoral apprenticeship.
Much has been written already about whether the scientific machine is churning out too many PhDs and postdocs when there are a limited number of academic jobs and the competition for funding and space in competitive journals is intense. But gratifyingly, there exists a vast array of other scientific careers. We need to mentor and advise trainees about the diverse and rewarding professional oppo...
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In this paper we provide evidence on the eeectiveness of the German apprenticeship system as a means to enhance workers productivity. More speciically, we estimate earnings diierentials between those who subsequently leave the occupation they were apprenticed in and those who remain in their training occupation. Some authors have been concerned with the potential productivity{ and earnings-decr...
متن کاملThe Returns to Apprenticeship Training
This paper uses recent data from the UK Labour Force Survey to estimate the wage gains that individuals make on average if they complete an apprenticeship programme. The results suggest gains of around 5-7% for men, but no benefit for women. Further analysis extends the results by considering the returns by age group, by qualification obtained, by highest prior qualification and by industrial s...
متن کاملBootstrapping Apprenticeship Learning
•We consider the problem of imitation learning where the examples, given by an expert, cover only a small part of a large state space. • Inverse Reinforcement Learning (IRL) provides an efficient tool for generalizing the partial demonstration, based on the assumption that the expert is maximizing an unknown utility function. • IRL consists in learning a reward function that explains the expert...
متن کاملStructured Apprenticeship Learning
We propose a graph-based algorithm for apprenticeship learning when the reward features are noisy. Previous apprenticeship learning techniques learn a reward function by using only local state features. This can be a limitation in practice, as often some features are misspecified or subject to measurement noise. Our graphical framework, inspired from the work on Markov Random Fields, allows to ...
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ژورنال
عنوان ژورنال: Science
سال: 1897
ISSN: 0036-8075,1095-9203
DOI: 10.1126/science.5.112.299