280 search results - page 8 / 56 » Planning for Markov Decision Processes with Sparse Stochasti... |
JAIR
2008
14 years 9 months ago
2008
Partially Observable Markov Decision Processes (POMDPs) provide a rich framework for sequential decision-making under uncertainty in stochastic domains. However, solving a POMDP i...
ORL
2006
14 years 9 months ago
2006
We consider a general adversarial stochastic optimization model. Our model involves the design of a system that an adversary may subsequently attempt to destroy or degrade. We int...
GLVLSI
2005
IEEE
15 years 3 months ago
2005
IEEE
We have presented an optimal on-chip buffer allocation and buffer insertion methodology which uses stochastic models of the architecture. This methodology uses finite buffer s...
FORMATS
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. Continuous-time Markov decision process are an important variant of labelled transition systems having nondeterminism through labels and stochasticity through exponential...
ICRA
2006
IEEE
15 years 3 months ago
2006
IEEE
— Mobile robot localization and navigation requires a map - the robot’s internal representation of the environment. A common problem is that path planning becomes very ineffic...