Accession Number:

AD1014298

Title:

Accelerating Imitation Learning in Relational Domains via Transfer by Initialization

Descriptive Note:

Conference Paper

Corporate Author:

Indiana University at Bloomington Bloomington United States

Report Date:

2013-08-28

Pagination or Media Count:

14.0

Abstract:

The problem of learning to mimic a human expertteacher from training trajectories is called imitation learning. To make the process of teaching easier in this setting, we propose to employ transfer learning where one learns on a source problem and transfers the knowledge to potentially more complex target problems. We consider multirelational environments such as real-time strategy games and use functional-gradient boosting to capture and transfer the models learned in these environments.

Subject Categories:

Distribution Statement:

APPROVED FOR PUBLIC RELEASE