11 search results - page 2 / 3 » Finding State Similarities for Faster Planning |
ICTAI
2000
IEEE
14 years 2 months ago
2000
IEEE
Markov Decision Processes (MDP) have been widely used as a framework for planning under uncertainty. They allow to compute optimal sequences of actions in order to achieve a given...
IJCAI
2003
14 years 6 days ago
2003
We address the problem of optimally controlling stochastic environments that are partially observable. The standard method for tackling such problems is to define and solve a Part...
FLAIRS
2001
14 years 7 days ago
2001
Partially Observable Markov Decision Process models (POMDPs) have been applied to low-level robot control. We show how to use POMDPs differently, namely for sensorplanning in the ...
ICIP
2001
IEEE
15 years 13 days ago
2001
IEEE
The HMM (Hidden Markov Model) is a probabilistic model of the joint probability of a collection of random variables with both observations and states. The GMM (Gaussian Mixture Mo...
CHI
2005
ACM
14 years 11 months ago
2005
ACM
Users of traditional tutorials and help systems often have difficulty finding the components described or pictured in the procedural instructions. Users also unintentionally miss ...