3274 search results - page 325 / 655 » Using Learning in a Control Agent |
169
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ATAL
2007
Springer
16 years 27 days ago
2007
Springer
Tags or observable features shared by a group of similar agents are effectively used in real and artificial societies to signal intentions and can be used to infer unobservable ...
205
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AAAI
2008
15 years 9 months ago
2008
We describe HTN-MAKER, an algorithm for learning hierarchical planning knowledge in the form of decomposition methods for Hierarchical Task Networks (HTNs). HTNMAKER takes as inpu...
156
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AAAI
2010
15 years 8 months ago
2010
We consider the problem of incorporating end-user advice into reinforcement learning (RL). In our setting, the learner alternates between practicing, where learning is based on ac...
163
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AAAI
2004
15 years 8 months ago
2004
This paper introduces a hierarchical Markov model that can learn and infer a user's daily movements through the commue model uses multiple levels of abstraction in order to b...
174
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AAAI
1998
15 years 8 months ago
1998
The World Wide Web is a vast source of information accessible to computers, but understandable only to humans. The goal of the research described here is to automatically create a...