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CORR
2010
Springer
76views Education» more  CORR 2010»
14 years 12 months ago
Freezing and Sleeping: Tracking Experts that Learn by Evolving Past Posteriors
A problem posed by Freund is how to efficiently track a small pool of experts out of a much larger set. This problem was solved when Bousquet and Warmuth introduced their mixing p...
Wouter M. Koolen, Tim van Erven
ICML
2001
IEEE
16 years 5 months ago
Continuous-Time Hierarchical Reinforcement Learning
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
Mohammad Ghavamzadeh, Sridhar Mahadevan
ICML
2000
IEEE
16 years 5 months ago
Hierarchical Unsupervised Learning
We consider the problem of unsupervised classification of temporal sequences of facial expressions in video. This problem arises in the design of an adaptive visual agent, which m...
Shivakumar Vaithyanathan, Byron Dom
HRI
2009
ACM
15 years 11 months ago
Learning about objects with human teachers
A general learning task for a robot in a new environment is to learn about objects and what actions/effects they afford. To approach this, we look at ways that a human partner c...
Andrea Lockerd Thomaz, Maya Cakmak
AIED
2009
Springer
15 years 11 months ago
Transfer Learning and Representation Discovery in Intelligent Tutoring Systems
We describe a novel framework developed for transfer learning within reinforcement learning (RL) problems. Then we exhibit how this framework can be extended to intelligent tutorin...
Kimberly Ferguson, Beverly Park Woolf, Sridhar Mah...