Collaborative Filtering (CF) requires user-rated training examples for statistical inference about the preferences of new users. Active learning strategies identify the most infor...
Abstract Information agents are cooperative agents whose main goal is to collaborate and assist task agents like mobile agents in obtaining information from heterogeneous data sour...
Lito Perez Cruz, Arkady B. Zaslavsky, David Squire
The Round Earth Project is investigating how virtual reality technology can be used to help teach concepts that are counter-intuitive to a learner's currently held mental mod...
Andrew E. Johnson, Thomas G. Moher, Stellan Ohlsso...
— This paper addresses the problem of acquiring a hierarchically structured robotic skill in a nonstationary environment. This is achieved through a combination of learning primi...
We contribute Policy Reuse as a technique to improve a reinforcement learning agent with guidance from past learned similar policies. Our method relies on using the past policies ...