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NIPS
2004
13 years 9 months ago
Learning first-order Markov models for control
First-order Markov models have been successfully applied to many problems, for example in modeling sequential data using Markov chains, and modeling control problems using the Mar...
Pieter Abbeel, Andrew Y. Ng
ATAL
2006
Springer
13 years 11 months ago
On the relationship between MDPs and the BDI architecture
In this paper we describe the initial results of an investigation into the relationship between Markov Decision Processes (MDPs) and Belief-Desire-Intention (BDI) architectures. W...
Gerardo I. Simari, Simon Parsons
CORR
2010
Springer
105views Education» more  CORR 2010»
13 years 6 months ago
Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence
We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...
Sarah Filippi, Olivier Cappé, Aurelien Gari...
EUSFLAT
2007
129views Fuzzy Logic» more  EUSFLAT 2007»
13 years 9 months ago
Dealing with Incompleteness of Preferences in Group Decision Making Problems
While considering processes of decision making we often encounter the problem of incomplete information. In group decision making (GDM) problems each decision maker is supposed to...
Anna Pankowska
CORR
2008
Springer
94views Education» more  CORR 2008»
13 years 7 months ago
Decision Support with Belief Functions Theory for Seabed Characterization
The seabed characterization from sonar images is a very hard task because of the produced data and the unknown environment, even for an human expert. In this work we propose an ori...
Arnaud Martin, Isabelle Quidu