138 search results - page 16 / 28 » Dynamic Programming for Structured Continuous Markov Decisio... |
AAAI
2000
13 years 10 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 ...
CORR
2011
Springer
13 years 3 months ago
2011
Springer
Recent research in multi-robot exploration and mapping has focused on sampling environmental fields, which are typically modeled using the Gaussian process (GP). Existing informa...
ECCV
1998
Springer
14 years 10 months ago
1998
Springer
?It is well-known that the problem of matching two relational structures can be posed as an equivalent problem of finding a maximal clique in a (derived) ?association graph.? Howev...
MP
2006
13 years 8 months ago
2006
In classical two-stage stochastic programming the expected value of the total costs is minimized. Recently, mean-risk models - studied in mathematical finance for several decades -...
AUTOMATICA
2008
13 years 8 months ago
2008
It is well known that stochastic control systems can be viewed as Markov decision processes (MDPs) with continuous state spaces. In this paper, we propose to apply the policy iter...