397 search results - page 54 / 80 » Reinforcement Learning with Hierarchies of Machines |
104
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JAIR
2007
14 years 9 months ago
2007
In this paper we present a general, flexible framework for learning mappings from images to actions by interacting with the environment. The basic idea is to introduce a feature-...
123
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IWCLS
2007
Springer
15 years 3 months ago
2007
Springer
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
AAAI
2004
14 years 11 months ago
2004
In recent years, we have witnessed the success of autonomous agents applying machine learning techniques across a wide range of applications. However, agents applying the same mac...
ECAI
2000
Springer
15 years 2 months ago
2000
Springer
We address the problem of advice-taking in a given domain, in particular for building a game-playing program. Our approach to solving it strives for the application of machine lea...
ECML
2005
Springer
15 years 3 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...