39 search results - page 3 / 8 » Optimistic Planning of Deterministic Systems |
ECAI
2010
Springer
13 years 6 months ago
2010
Springer
Controller synthesis consists in automatically building controllers taking as inputs observation data and returning outputs guaranteeing that the controlled system satisfies some d...
JAIR
2011
13 years 7 days ago
2011
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...
ICIP
2004
IEEE
14 years 6 months ago
2004
IEEE
In this paper, we present a sensor planning approach for a mobile trinocular active vision system. At the stationary state (i.e., no motion) the sensor planning system calculates ...
NIPS
2008
13 years 6 months ago
2008
Markov Decision Processes (MDPs) have been extensively studied and used in the context of planning and decision-making, and many methods exist to find the optimal policy for probl...
LPAR
2010
Springer
13 years 3 months ago
2010
Springer
We consider a mild extension of universal algebra in which terms are built both from deterministic and probabilistic variables, and are interpreted as distributions. We formulate a...