280 search results - page 15 / 56 » Planning for Markov Decision Processes with Sparse Stochasti... |
AAAI
2010
14 years 11 months ago
2010
Relational Markov Decision Processes (MDP) are a useraction for stochastic planning problems since one can develop abstract solutions for them that are independent of domain size ...
ICRA
2010
IEEE
14 years 8 months ago
2010
IEEE
Abstract— We propose a planning algorithm that allows usersupplied domain knowledge to be exploited in the synthesis of information feedback policies for systems modeled as parti...
DATE
2007
IEEE
15 years 4 months ago
2007
IEEE
As the hardware and software complexity grows, it is unlikely for the power management hardware/software to have a full observation of the entire system status. In this paper, we ...
AIPS
2003
14 years 11 months ago
2003
We propose a framework for policy generation in continuoustime stochastic domains with concurrent actions and events of uncertain duration. We make no assumptions regarding the co...
IJCAI
2003
14 years 11 months 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...