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JAIR
2011
144views more  JAIR 2011»
15 years 1 months ago
Non-Deterministic Policies in Markovian Decision Processes
Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making proble...
Mahdi Milani Fard, Joelle Pineau
METAINFORMATICS
2004
Springer
15 years 11 months ago
Supporting Tools for Designing-By-Contract in Component-Based Applications
This paper deals with the modeling and the automatic implementation of constraints in component based applications. Constraints have been assuming an ever more relevant role in mod...
Antonio Coronato, Antonio d'Acierno, Diego D'Ambro...
IJCNN
2007
IEEE
16 years 18 days ago
Transfer Learning in Decision Trees
— Most research in machine learning focuses on scenarios in which a learner faces a single learning task, independently of other learning tasks or prior knowledge. In reality, ho...
Jun Won Lee, Christophe G. Giraud-Carrier
CP
2003
Springer
15 years 11 months ago
Terminating Decision Algorithms Optimally
Incomplete decision algorithms can often solve larger problem instances than complete ones. The drawback is that one does not know whether the algorithm will finish soon, later, ...
Tuomas Sandholm
TC
2010
15 years 1 months ago
Performability Analysis of Multistate Computing Systems Using Multivalued Decision Diagrams
A distinct characteristic of multistate systems (MSS) is that the systems and/or their components may exhibit multiple performance levels (or states) varying from perfect operation...
Suprasad V. Amari, Liudong Xing, Akhilesh Shrestha...