Sciweavers

424 search results - page 5 / 85
» Localizing Planning with Functional Process Models
Sort
View
JAIR
2000
152views more  JAIR 2000»
13 years 7 months ago
Value-Function Approximations for Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) provide an elegant mathematical framework for modeling complex decision and planning problems in stochastic domains in whic...
Milos Hauskrecht
IPPS
2006
IEEE
14 years 1 months ago
Exploiting processing locality through paging configurations in multitasked reconfigurable systems
FPGA chips in reconfigurable computer systems are used as malleable coprocessors where components of a hardware library of functions can be configured as needed. As the number of ...
T. Taher, Tarek A. El-Ghazawi
RSS
2007
151views Robotics» more  RSS 2007»
13 years 8 months ago
Adaptive Non-Stationary Kernel Regression for Terrain Modeling
— Three-dimensional digital terrain models are of fundamental importance in many areas such as the geo-sciences and outdoor robotics. Accurate modeling requires the ability to de...
Tobias Lang, Christian Plagemann, Wolfram Burgard
CAISE
2006
Springer
13 years 11 months ago
Taxonomy of Flexibility in Business Processes
ion level of Change Subject of Change Properties of Change Type Instance Functional Perspective Organizational Perspective Extent Behavioral Perspective Informational Perspective O...
Gil Regev, Pnina Soffer, Rainer Schmidt
AIPS
2007
13 years 9 months ago
Learning to Plan Using Harmonic Analysis of Diffusion Models
This paper summarizes research on a new emerging framework for learning to plan using the Markov decision process model (MDP). In this paradigm, two approaches to learning to plan...
Sridhar Mahadevan, Sarah Osentoski, Jeffrey Johns,...