Sciweavers

69 search results - page 4 / 14
» Random Sampling of States in Dynamic Programming
Sort
View
WSC
2008
13 years 10 months ago
Mathematical programming representations for state-dependent queues
Discrete-event dynamic systems with feedback, where the behavior of the system depends on the system state, are difficult to model due to the uncertainties and dependencies of sys...
Wai Kin Chan, Lee W. Schruben
MICRO
2008
IEEE
103views Hardware» more  MICRO 2008»
14 years 2 months ago
Testudo: Heavyweight security analysis via statistical sampling
Heavyweight security analysis systems, such as taint analysis and dynamic type checking, are powerful technologies used to detect security vulnerabilities and software bugs. Tradi...
Joseph L. Greathouse, Ilya Wagner, David A. Ramos,...
RSS
2007
136views Robotics» more  RSS 2007»
13 years 9 months ago
The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty
— We present a new motion planning framework that explicitly considers uncertainty in robot motion to maximize the probability of avoiding collisions and successfully reaching a ...
Ron Alterovitz, Thierry Siméon, Kenneth Y. ...
NIPS
2003
13 years 9 months ago
Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models
We describe a Markov chain method for sampling from the distribution of the hidden state sequence in a non-linear dynamical system, given a sequence of observations. This method u...
Radford M. Neal, Matthew J. Beal, Sam T. Roweis
ATAL
2009
Springer
13 years 8 months ago
Efficient physics-based planning: sampling search via non-deterministic tactics and skills
Motion planning for mobile agents, such as robots, acting in the physical world is a challenging task, which traditionally concerns safe obstacle avoidance. We are interested in p...
Stefan Zickler, Manuela M. Veloso