Task-Level Learning from Demonstration and Generation of Action Examples for Hierarchical Control Structure

Anna Gorbenko

doi:10.4028/www.scientific.net/AMM.565.194

Paper Titles

New Observations from Comparison between the Benner et al. and the Ainley and Mathieson Models for Profile Losses
p.173

Study on TEA Encryption for Public Communication Network Wireless Remoter
p.179

Educational Opportunities via Distance Learning System
p.183

United Estimation of Time Delay and Frequency Drift in XNAV
p.187

Task-Level Learning from Demonstration and Generation of Action Examples for Hierarchical Control Structure
p.194

Single-Machine Rescheduling of New Orders with Learning and Deterioration Effects Consideration
p.198

The Output Competition Game between FDI Port Enterprises and Incumbent Port Enterprises
p.205

Research on Parameterized Modeling Technology for the Bolted Joints Structure
p.211

GNSS RAIM Performance Analysis for World Wide Area
p.217

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 565Task-Level Learning from Demonstration and...

Task-Level Learning from Demonstration and Generation of Action Examples for Hierarchical Control Structure

Abstract:

We consider the problem of the task-level robot learning from demonstration. In particular, we consider a model that uses the hierarchical control structure. For this model, we propose the problem of selection of action examples. We present a polynomial time algorithm for solution of this problem. Also, we consider some experimental results for task-level learning from demonstration.