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JAIR
2011
144views more  JAIR 2011»
13 years 3 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
CORR
2010
Springer
173views Education» more  CORR 2010»
13 years 9 months ago
Towards Conceptual Multidimensional Design in Decision Support Systems
Multidimensional databases support efficiently on-line analytical processing (OLAP). In this paper, we depict a model dedicated to multidimensional databases. The approach we prese...
Olivier Teste
ICLP
2001
Springer
14 years 1 months ago
Fixed-Parameter Complexity of Semantics for Logic Programs
In the paper we establish the xed-parameter complexity for several parameterized decision problems involving models, supported models and stable models of logic programs. We also e...
Zbigniew Lonc, Miroslaw Truszczynski
IJCAI
2007
13 years 10 months 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
TSMC
1998
132views more  TSMC 1998»
13 years 8 months ago
Decision support for vehicle dispatching using genetic programming
—Vehicle dispatching consists of allocating real-time service requests to a fleet of moving vehicles. In this paper, each vehicle is associated with a vector of attribute values...
Ilham Benyahia, Jean-Yves Potvin