Skip to search formSkip to main contentSkip to account menu

Apprenticeship learning

Apprenticeship learning, or apprenticeship via inverse reinforcement learning (AIRP), is a concept in the field of artificial intelligence and… 
Wikipedia (opens in a new tab)

Related topics

Related topics

6 relations
Artificial intelligenceComputer scienceElectrical engineeringMarkov decision process

Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
6 Apprenticeship Learning in Preparation for Meeting the Unforeseen
The chapter analyzes teaching where the goal is to enable students at the Armed Forces Staff College to master unforeseen events… 
2008
2008
Building a more effective teaching robot using apprenticeship learning
What defines good teaching? While attributes such as timing, responsiveness to social cues, and pacing of material clearly play a… 
2008
2008
CHARLES FEINSTEIN (1932–2005), AND BRITISH HISTORICAL NATIONAL ACCOUNTS
The Meade and Stone approach to national accounting (first published for the UK in 1941) eventually provided the template for the… 
2001
2001
An Innovative Application from the DARPA Knowledge Bases Programs: Rapid Development of a Course-of-Action Critiquer
This article presents a learning agent shell and methodology for building knowledge bases and agents and their innovative… 
2000
2000
Apprenticeship learning of software engineering using Webworlds
There is an increasing use of the World Wide Web in the teaching of topics in computer science. Many examples involving animation… 
1996
1996
Bootstrapping a Community of Practice: Learning Science by Doing Projects in a High School Classroom
Researchers and theorists have extolled the promise of learning achieved through participation in the activities of a community… 
Highly Cited
1993
Highly Cited
1993
Knowledge Acquisition without Analysis
This paper suggests that a distinction between knowledge acquisition methods should be made. On the one hand there are methods… 
1990
1990
19 APPRENTICESHIP LEARNING IN IMPERFECT DOMAIN THEORIES
This chapter presents DISCIPLE. a multistrategy. integrated learning system illustrating a theory and a methodology for learning… 
1989
1989
Knowledge Base Refinement as Improving an Incorrect, Inconsistent and Incomplete Domain Theory
1987
1987
Knowledge Base Refinement by Monitoring Abstract Control Knowledge
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)