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» Learning Models of Intelligent Agents
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147
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AAAI
1998
15 years 5 months ago
Applying Online Search Techniques to Continuous-State Reinforcement Learning
In this paper, we describe methods for e ciently computing better solutions to control problems in continuous state spaces. We provide algorithms that exploit online search to boo...
Scott Davies, Andrew Y. Ng, Andrew W. Moore
130
Voted
ESSMAC
2003
Springer
15 years 9 months ago
Hex: Dynamics and Probabilistic Text Entry
We present a gestural interface for entering text on a mobile device via continuous movements, with control based on feedback from a probabilistic language model. Text is represent...
John Williamson, Roderick Murray-Smith
117
Voted
AAAI
2008
15 years 6 months ago
Examining Difficulties Software Developers Encounter in the Adoption of Statistical Machine Learning
Statistical machine learning continues to show promise as a tool for addressing complex problems in a variety of domains. An increasing number of developers are therefore looking ...
Kayur Patel, James Fogarty, James A. Landay, Bever...
125
Voted
AAAI
1994
15 years 5 months ago
Improving Learning Performance Through Rational Resource Allocation
This article shows how rational analysis can be used to minimize learning cost for a general class of statistical learning problems. We discuss the factors that influence learning...
Jonathan Gratch, Steve A. Chien, Gerald DeJong
137
Voted
IDEAL
2009
Springer
15 years 10 months ago
Improving the Language Active Learning with Multiagent Systems
Nowadays, there is a growing need for providing novel solutions to facilitate active learning in dependency environments. This paper present a multiagent architecture that incorpor...
Cristian Pinzón, Vivian López, Javie...