683 search results - page 80 / 137 » Coarticulation in Markov Decision Processes |
PKDD
2010
Springer
13 years 7 months ago
2010
Springer
Partially observable Markov decision processes (POMDPs) are widely used for planning under uncertainty. In many applications, the huge size of the POMDP state space makes straightf...
QEST
2010
IEEE
13 years 7 months ago
2010
IEEE
We consider Markov Decision Processes (MDPs) as transformers on probability distributions, where with respect to a scheduler that resolves nondeterminism, the MDP can be seen as ex...
GLOBECOM
2008
IEEE
14 years 3 months ago
2008
IEEE
—We consider peer-to-peer (P2P) networks, where multiple peers are interested in sharing content. While sharing resources, autonomous and self-interested peers need to make decis...
CPAIOR
2008
Springer
13 years 10 months ago
2008
Springer
The one-step anticipatory algorithm (1s-AA) is an online algorithm making decisions under uncertainty by ignoring future non-anticipativity constraints. It makes near-optimal decis...
NIPS
2008
13 years 10 months ago
2008
Markov Decision Processes (MDPs) have been extensively studied and used in the context of planning and decision-making, and many methods exist to find the optimal policy for probl...