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» A time aggregation approach to Markov decision processes
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SIGMOD
1997
ACM
180views Database» more  SIGMOD 1997»
15 years 6 months ago
Online Aggregation
Aggregation in traditional database systems is performed in batch mode: a query is submitted, the system processes a large volume of data over a long period of time, and, eventual...
Joseph M. Hellerstein, Peter J. Haas, Helen J. Wan...
ATVA
2006
Springer
123views Hardware» more  ATVA 2006»
15 years 5 months ago
Symmetry Reduction for Probabilistic Model Checking Using Generic Representatives
Generic representatives have been proposed for the effective combination of symmetry reduction and symbolic representation with BDDs in non-probabilistic model checking. This appro...
Alastair F. Donaldson, Alice Miller
ICML
2008
IEEE
16 years 2 months ago
Apprenticeship learning using linear programming
In apprenticeship learning, the goal is to learn a policy in a Markov decision process that is at least as good as a policy demonstrated by an expert. The difficulty arises in tha...
Umar Syed, Michael H. Bowling, Robert E. Schapire
AAAI
2006
15 years 3 months ago
Point-based Dynamic Programming for DEC-POMDPs
We introduce point-based dynamic programming (DP) for decentralized partially observable Markov decision processes (DEC-POMDPs), a new discrete DP algorithm for planning strategie...
Daniel Szer, François Charpillet
AIPS
2006
15 years 3 months ago
Solving Factored MDPs with Exponential-Family Transition Models
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
Branislav Kveton, Milos Hauskrecht