499 search results - page 74 / 100 » Model Minimization in Markov Decision Processes |
ISOLA
2010
Springer
13 years 7 months ago
2010
Springer
This article comprehensively surveys the work accomplished during the past decade on an approach to analyze concurrent systems qualitatively and quantitatively, by combining functi...
AGENTS
2001
Springer
14 years 1 months ago
2001
Springer
Through adjustable autonomy (AA), an agent can dynamically vary the degree to which it acts autonomously, allowing it to exploit human abilities to improve its performance, but wi...
JAIR
2010
13 years 7 months ago
2010
This paper deals with value (and Q-) function approximation in deterministic Markovian decision processes (MDPs). A general statistical framework based on the Kalman filtering pa...
ALDT
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. An optimal probabilistic-planning algorithm solves a problem, usually modeled by a Markov decision process, by finding its optimal policy. In this paper, we study the k ...
AAAI
2006
13 years 10 months ago
2006
Partially observable Markov decision processes (POMDPs) are an intuitive and general way to model sequential decision making problems under uncertainty. Unfortunately, even approx...