622 search results - page 5 / 125 » Stochastic programming approach to optimization under uncert... |
151
Voted
AAAI
2000
15 years 5 months ago
2000
Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...
129
Voted
JPDC
2008
15 years 3 months ago
2008
This research investigates the problem of robust static resource allocation for distributed computing systems operating under imposed Quality of Service (QoS) constraints. Often, ...
135
Voted
IJRR
2008
15 years 3 months ago
2008
We develop a new motion planning algorithm for a variant of a Dubins car with binary left/right steering and apply it to steerable needles, a new class of flexible beveltip medica...
140
Voted
SIGECOM
2004
ACM
15 years 9 months ago
2004
ACM
In this paper, we combine two approaches to handling uncertainty: we use techniques for finding optimal solutions in the expected sense to solve combinatorial optimization proble...
135
click to vote
ATAL
2006
Springer
15 years 7 months ago
2006
Springer
Decentralized partially observable Markov decision processes (DEC-POMDPs) form a general framework for planning for groups of cooperating agents that inhabit a stochastic and part...