451 search results - page 43 / 91 » Approximation algorithms for stochastic orienteering |
ATAL
2007
Springer
14 years 2 months ago
2007
Springer
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
SECON
2010
IEEE
13 years 6 months ago
2010
IEEE
In this paper, we address several problems that arise in the context of rotating directional sensors. Rotating directional sensors (RDS) have a "directional" coverage reg...
ICML
1998
IEEE
14 years 9 months ago
1998
IEEE
Production scheduling, the problem of sequentially con guring a factory to meet forecasted demands, is a critical problem throughout the manufacturing industry. The requirement of...
JAIR
2010
13 years 7 months ago
2010
Domain-specific features are important in representing problem structure throughout machine learning and decision-theoretic planning. In planning, once state features are provide...
ICASSP
2008
IEEE
14 years 3 months ago
2008
IEEE
Bayesian estimation in nonlinear stochastic dynamical systems has been addressed for a long time. Among other solutions, Particle Filtering (PF) algorithms propagate in time a Mon...