428 search results - page 36 / 86 » Preference learning with Gaussian processes |
NIPS
1997
13 years 9 months ago
1997
We present a new approach to reinforcement learning in which the policies considered by the learning process are constrained by hierarchies of partially specified machines. This ...
JCAL
2010
13 years 3 months ago
2010
Personalized instruction is seen as a desideratum of today's e-learning systems. The focus of this paper is on those platforms that use learning styles as personalization crit...
ICRA
2007
IEEE
14 years 2 months ago
2007
IEEE
— The least squares approach works efficiently in value function approximation, given appropriate basis functions. Because of its smoothness, the Gaussian kernel is a popular an...
ICIAR
2005
Springer
14 years 1 months ago
2005
Springer
A neglected challenge in existing e-Learning (eL) systems is providing access to multimedia to all users regardless of environmental conditions such as diverse device capabilities,...
IJCAI
2007
13 years 10 months ago
2007
Inverse Reinforcement Learning (IRL) is the problem of learning the reward function underlying a Markov Decision Process given the dynamics of the system and the behaviour of an e...