425 search results - page 39 / 85 » Metacognitive Control and Optimal Learning |
ATAL
2009
Springer
15 years 4 months ago
2009
Springer
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
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ECAI
2010
Springer
14 years 10 months ago
2010
Springer
In the last decades enormous advances have been made possible for modelling complex (physical) systems by mathematical equations and computer algorithms. To deal with very long run...
ECML
2006
Springer
15 years 1 months ago
2006
Springer
Reinforcement learning in real-world domains suffers from three curses of dimensionality: explosions in state and action spaces, and high stochasticity. We present approaches that ...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
CCS
2004
ACM
15 years 3 months ago
2004
ACM
Access control can be used to ensure that database queries pertaining to sensitive information are not answered. This is not enough to prevent users from learning sensitive inform...