85 search results - page 4 / 17 » Solving Stochastic Planning Problems with Large State and Ac... |
IJCAI
2003
13 years 8 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...
AAAI
1997
13 years 8 months ago
1997
Many stochastic planning problems can be represented using Markov Decision Processes (MDPs). A difficulty with using these MDP representations is that the common algorithms for so...
CCE
2004
13 years 7 months ago
2004
The Resource-Constrained Project Scheduling Problem(RCPSP) is a significant challenge in highly regulated industries, such as pharmaceuticals and agrochemicals, where a large numb...
KR
1994
Springer
13 years 11 months ago
1994
Springer
Probabilistic AI planning methods that minimize expected execution cost have a neutral attitude towards risk. We demonstrate how one can transform planning problems for risk-sensi...
AI
2011
Springer
13 years 2 months ago
2011
Springer
Planning graphs have been shown to be a rich source of heuristic information for many kinds of planners. In many cases, planners must compute a planning graph for each element of ...