949 search results - page 88 / 190 » Can Doxastic Agents Learn |
106
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AAAI
2007
15 years 3 months ago
2007
The importance of the efforts towards integrating the symbolic and connectionist paradigms of artificial intelligence has been widely recognised. Integration may lead to more e...
130
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CSL
2010
Springer
15 years 1 months ago
2010
Springer
We describe an evaluation of spoken dialogue strategies designed using hierarchical reinforcement learning agents. The dialogue strategies were learnt in a simulated environment a...
CHI
2011
ACM
14 years 4 months ago
2011
ACM
We lay out one strand of a continuing investigation into the development of a virtual peer to help children learn to use “school English” and “school-ratified science talk...
CIKM
2000
Springer
15 years 5 months ago
2000
Springer
We consider the problem of browsing the top ranked portion of the documents returned by an information retrieval system. We describe an interactive relevance feedback agent that a...
ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
Typically agent evaluation is done through Monte Carlo estimation. However, stochastic agent decisions and stochastic outcomes can make this approach inefficient, requiring many s...