3837 search results - page 137 / 768 » Learning Approximate Consistencies |
ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
We present a novel approach for learning nonlinear dynamic models, which leads to a new set of tools capable of solving problems that are otherwise difficult. We provide theory sh...
128
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WEBNET
2000
15 years 5 months ago
2000
: This paper looks at factors affecting the success of asynchronous online learning through an investigation of relationships between student perceptions and course design factors ...
117
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IROS
2007
IEEE
15 years 11 months ago
2007
IEEE
: This paper presents a coarse coding technique and an action selection scheme for reinforcement learning (RL) in multi-dimensional and continuous state-action spaces following con...
130
Voted
ECML
2005
Springer
15 years 10 months ago
2005
Springer
Abstract. Learning to act in an unknown partially observable domain is a difficult variant of the reinforcement learning paradigm. Research in the area has focused on model-free m...
136
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JAIR
2010
15 years 3 months ago
2010
Domain-specific features are important in representing problem structure throughout machine learning and decision-theoretic planning. In planning, once state features are provide...