Apprenticeship learning (AL) is a class of “learning from demonstrations” techniques where the reward function of a Markov Decision Process (MDP) is unknown to the learning agent and the agent has to derive a good policy by observing an expert’s demonstrations. In this paper, we study the problem of how to make AL algorithms inherently safe while still meeting its learning objective. We conside...

The learning sciences community has gleaned a good deal from research on traditional apprenticeships, and efforts to implement cognitive apprenticeships in schools. A hybrid model of "sociocognitive apprenticeship" is proposed, combining aspects of traditional and cognitive apprenticeships to aid culturally disadvantaged students to develop successful participation in and identification with pr...

Teaching database engineers involves a variety of learning activities. A strong focus is on practical problems that go beyond the acquisition of knowledge. Skills and experience are equally important. We propose a virtual apprenticeship model for the knowledgeand skillsoriented Web-based education of database students. We adapt the classical cognitive apprenticeship theory to the Web context ut...