Sciweavers

30 search results - page 1 / 6
» A Hybridized Planner for Stochastic Domains
Sort
View
IJCAI
2007
13 years 5 months ago
A Hybridized Planner for Stochastic Domains
Markov Decision Processes are a powerful framework for planning under uncertainty, but current algorithms have difficulties scaling to large problems. We present a novel probabil...
Mausam, Piergiorgio Bertoli, Daniel S. Weld
JAIR
2008
107views more  JAIR 2008»
13 years 3 months ago
Planning with Durative Actions in Stochastic Domains
Probabilistic planning problems are typically modeled as a Markov Decision Process (MDP). MDPs, while an otherwise expressive model, allow only for sequential, non-durative action...
Mausam, Daniel S. Weld
AAI
2005
117views more  AAI 2005»
13 years 3 months ago
Machine Learning in Hybrid Hierarchical and Partial-Order Planners for Manufacturing Domains
The application of AI planning techniques to manufacturing systems is being widely deployed for all the tasks involved in the process, from product design to production planning an...
Susana Fernández, Ricardo Aler, Daniel Borr...
AAAI
1994
13 years 5 months ago
Control Strategies for a Stochastic Planner
We present new algorithms for local planning over Markov decision processes. The base-level algorithm possesses several interesting features for control of computation, based on s...
Jonathan Tash, Stuart J. Russell
AIPS
2003
13 years 5 months ago
GIPO II: HTN Planning in a Tool-supported Knowledge Engineering Environment
In this paper we explore a principled, integrated approach to the process of creating complex planning applications and introduce and evaluate a new hybrid task-reduction planner ...
T. L. McCluskey, Donghong Liu, Ron M. Simpson