380 search results - page 38 / 76 » Models of active learning in group-structured state spaces |
ML
2002
ACM
14 years 9 months ago
2002
ACM
An issue that is critical for the application of Markov decision processes MDPs to realistic problems is how the complexity of planning scales with the size of the MDP. In stochas...
ATAL
2007
Springer
15 years 3 months ago
2007
Springer
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
106
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ISVC
2007
Springer
15 years 3 months ago
2007
Springer
We present a novel boosting algorithm where temporal consistency is addressed in a short-term way. Although temporal correlation of observed data may be an important cue for classi...
72
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AAAI
2006
14 years 11 months ago
2006
straction is a useful tool for agents interacting with environments. Good state abstractions are compact, reuseable, and easy to learn from sample data. This paper and extends two...
AAAI
2012
13 years 1 days ago
2012
We propose to model relative attributes1 that capture the relationships between images and objects in terms of human-nameable visual properties. For example, the models can captur...