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132
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ICRA
2009
IEEE
227views Robotics» more  ICRA 2009»
15 years 9 months ago
Adaptive autonomous control using online value iteration with gaussian processes
— In this paper, we present a novel approach to controlling a robotic system online from scratch based on the reinforcement learning principle. In contrast to other approaches, o...
Axel Rottmann, Wolfram Burgard
117
Voted
ICRA
2009
IEEE
139views Robotics» more  ICRA 2009»
15 years 9 months ago
Transfer of knowledge for a climbing Virtual Human: A reinforcement learning approach
— In the reinforcement learning literature, transfer is the capability to reuse on a new problem what has been learnt from previous experiences on similar problems. Adapting tran...
Benoit Libeau, Alain Micaelli, Olivier Sigaud
92
Voted
KES
2004
Springer
15 years 7 months ago
Semi-supervised Learning from Unbalanced Labeled Data - An Improvement
Abstract. We present a possibly great improvement while performing semisupervised learning tasks from training data sets when only a small fraction of the data pairs is labeled. In...
Te Ming Huang, Vojislav Kecman
132
Voted
IAAI
2003
15 years 3 months ago
Guided Conversations about Leadership: Mentoring with Movies and Interactive Characters
Think Like a Commander – Excellence in Leadership (TLAC-XL) is an application designed for learning leadership skills both from the experiences of others and through a structure...
Randall W. Hill Jr., Jay Douglas, Andrew Gordon, F...
132
Voted
ITS
2010
Springer
178views Multimedia» more  ITS 2010»
15 years 7 months ago
Learning What Works in ITS from Non-traditional Randomized Controlled Trial Data
The traditional, well established approach to finding out what works in education research is to run a randomized controlled trial (RCT) using a standard pretest and posttest desig...
Zachary A. Pardos, Matthew D. Dailey, Neil T. Heff...