26 search results - page 5 / 6 » Labelled Markov Processes: Stronger and Faster Approximation... |
ATAL
2009
Springer
13 years 12 months ago
2009
Springer
Recent scaling up of decentralized partially observable Markov decision process (DEC-POMDP) solvers towards realistic applications is mainly due to approximate methods. Of this fa...
ICRA
2008
IEEE
13 years 11 months ago
2008
IEEE
— Target tracking has two variants that are often studied independently with different approaches: target searching requires a robot to find a target initially not visible, and ...
CVPR
2009
IEEE
15 years 23 days ago
2009
IEEE
Belief propagation (BP) is an effective algorithm for solving energy minimization problems in computer vision. However, it requires enormous memory, bandwidth, and computation beca...
BMCBI
2006
13 years 5 months ago
2006
Background: Stochastic simulation has become a useful tool to both study natural biological systems and design new synthetic ones. By capturing the intrinsic molecular fluctuation...
ECML
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....