Sciweavers

914 search results - page 3 / 183
» The Computational Complexity of Probabilistic Planning
Sort
View
ICRA
2005
IEEE
130views Robotics» more  ICRA 2005»
13 years 11 months ago
Constraint-Based Motion Planning of Deformable Robots
Abstract— We present a novel algorithm for motion planning of a deformable robot in a static environment. Given the initial and final configuration of the robot, our algorithm ...
Russell Gayle, Ming C. Lin, Dinesh Manocha
AAAI
2000
13 years 6 months ago
Towards Feasible Approach to Plan Checking under Probabilistic Uncertainty: Interval Methods
The main problem of planning is to find a sequence of actions that an agent must perform to achieve a given objective. An important part of planning is checking whether a given pl...
Raul Trejo, Vladik Kreinovich, Chitta Baral
AI
2008
Springer
13 years 5 months ago
Sequential Monte Carlo in reachability heuristics for probabilistic planning
The current best conformant probabilistic planners encode the problem as a bounded length CSP or SAT problem. While these approaches can find optimal solutions for given plan leng...
Daniel Bryce, Subbarao Kambhampati, David E. Smith
AIPS
2006
13 years 6 months ago
Sequential Monte Carlo in Probabilistic Planning Reachability Heuristics
The current best conformant probabilistic planners encode the problem as a bounded length CSP or SAT problem. While these approaches can find optimal solutions for given plan leng...
Daniel Bryce, Subbarao Kambhampati, David E. Smith
JAIR
2008
107views more  JAIR 2008»
13 years 5 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