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» Model-Based Exploration in Continuous State Spaces
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AAAI
2008
13 years 9 months ago
Reducing Particle Filtering Complexity for 3D Motion Capture using Dynamic Bayesian Networks
Particle filtering algorithms can be used for the monitoring of dynamic systems with continuous state variables and without any constraints on the form of the probability distribu...
Cédric Rose, Jamal Saboune, François...
SOFSEM
2000
Springer
13 years 11 months ago
Exhaustive Search, Combinatorial Optimization and Enumeration: Exploring the Potential of Raw Computing Power
For half a century since computers came into existence, the goal of finding elegant and efficient algorithms to solve "simple" (welldefined and well-structured) problems ...
Jürg Nievergelt
ICML
2007
IEEE
14 years 8 months ago
Constructing basis functions from directed graphs for value function approximation
Basis functions derived from an undirected graph connecting nearby samples from a Markov decision process (MDP) have proven useful for approximating value functions. The success o...
Jeffrey Johns, Sridhar Mahadevan
JIRS
2007
119views more  JIRS 2007»
13 years 7 months ago
Design and Stability Analysis of Fuzzy Model-based Predictive Control - A Case Study
In the paper a fuzzy model based predictive control algorithm is presented. The proposed algorithm is developed in the state space and is given in analytical form, which is an adva...
Saso Blazic, Igor Skrjanc
FM
2001
Springer
108views Formal Methods» more  FM 2001»
13 years 12 months ago
Improvements in BDD-Based Reachability Analysis of Timed Automata
To develop efficient algorithms for the reachability analysis of timed automata, a promising approach is to use binary decision diagrams (BDDs) as data structure for the representa...
Dirk Beyer