منابع مشابه
Mobility after Apprenticeship { How Eeective Is the German Apprenticeship System ?
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...
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•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 ...
متن کاملThe 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...
متن کاملSemi-Supervised Apprenticeship Learning
In apprenticeship learning we aim to learn a good policy by observing the behavior of an expert or a set of experts. In particular, we consider the case where the expert acts so as to maximize an unknown reward function defined as a linear combination of a set of state features. In this paper, we consider the setting where we observe many sample trajectories (i.e., sequences of states) but only...
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ژورنال
عنوان ژورنال: Relations industrielles
سال: 2014
ISSN: 1703-8138,0034-379X
DOI: 10.7202/1023036ar