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» MUSETTE: a framework for knowledge capture from experience
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95
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ATAL
2010
Springer
14 years 10 months ago
Closing the learning-planning loop with predictive state representations
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
89
Voted
WWW
2004
ACM
15 years 10 months ago
An agent system reasoning about the web and the user
The paper describes some innovations related to the ongoing work on the GSA prototype, an integrated information retrieval agent. In order to improve the original system effective...
Giovambattista Ianni, Francesco Ricca, Francesco C...
76
Voted
IJCAI
1989
14 years 10 months ago
On the Declarative Semantics of Inheritance Networks
Usually, semantics of inheritance networks is specified indirectly through a translation into one of the standard logical formalisms. Since such translation involves an algorithmi...
Krishnaprasad Thirunarayan, Michael Kifer, David S...
ICRA
2005
IEEE
184views Robotics» more  ICRA 2005»
15 years 3 months ago
3D Virtual Prototyping of Home Service Robots Using ASADAL/OBJ
– Typical robot development requires that hardware be mostly functional before significant software development begins. Utilizing virtual prototype of hardware and its environmen...
Kyo Chul Kang, Moonzoo Kim, Jaejoon Lee, Byungkil ...
WWW
2008
ACM
15 years 10 months ago
Learning multiple graphs for document recommendations
The Web offers rich relational data with different semantics. In this paper, we address the problem of document recommendation in a digital library, where the documents in questio...
Ding Zhou, Shenghuo Zhu, Kai Yu, Xiaodan Song, Bel...