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» Hierarchical Monte-Carlo Planning
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UAI
2008
15 years 7 months ago
Hierarchical POMDP Controller Optimization by Likelihood Maximization
Planning can often be simplified by decomposing the task into smaller tasks arranged hierarchically. Charlin et al. [4] recently showed that the hierarchy discovery problem can be...
Marc Toussaint, Laurent Charlin, Pascal Poupart
ICRA
2005
IEEE
116views Robotics» more  ICRA 2005»
15 years 11 months ago
Using Hierarchical EM to Extract Planes from 3D Range Scans
— Recently, the acquisition of three-dimensional maps has become more and more popular. This is motivated by the fact that robots act in the three-dimensional world and several t...
Rudolph Triebel, Wolfram Burgard, Frank Dellaert
SI3D
2010
ACM
15 years 11 months ago
Real-time multi-agent path planning on arbitrary surfaces
Path planning is an active topic in the literature, and efficient navigation over non-planar surfaces is an open research question. In this work we present a novel technique for ...
Rafael P. Torchelsen, Luiz F. Scheidegger, Guilher...
AIPS
2011
14 years 9 months ago
Sample-Based Planning for Continuous Action Markov Decision Processes
In this paper, we present a new algorithm that integrates recent advances in solving continuous bandit problems with sample-based rollout methods for planning in Markov Decision P...
Christopher R. Mansley, Ari Weinstein, Michael L. ...
AIPS
1994
15 years 7 months ago
The Use of Supervenience in Dynamic-world Planning
Thispaperdescribesthe use of superveniencein integrating planningand reaction in complex,dynamicenvironments. ienceis a formof abstractionwithaffinities both action in AIplannings...
Lee Spector, James A. Hendler