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IJCAI
2007
15 years 22 days ago
Using Linear Programming for Bayesian Exploration in Markov Decision Processes
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
Pablo Samuel Castro, Doina Precup
FLAIRS
2004
15 years 21 days ago
Case-Based Bayesian Network Classifiers
We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
Eugene Santos, Ahmed Huessin
101
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AIPS
2000
15 years 19 days ago
New Advances in GraphHTN: Identifying Independent Subproblems in Large HTN Domains
We describe in this paper a new method for extracting knowledge on Hierarchical Task-Network (HTN) planning problems for speeding up the search. This knowledge is gathered by prop...
Amnon Lotem, Dana S. Nau
ATAL
2010
Springer
15 years 12 days ago
A logical framework for prioritized goal change
Most previous logical accounts of goals do not deal with prioritized goals and goal dynamics properly. Many are restricted to achievement goals. In this paper, we develop a logica...
Shakil M. Khan, Yves Lespérance
IVC
2008
182views more  IVC 2008»
14 years 11 months ago
Ontology based complex object recognition
This paper presents an object categorization method. Our approach involves the following aspects of cognitive vision : machine learning and knowledge representation. A major eleme...
Nicolas Maillot, Monique Thonnat