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» Hierarchical Monte-Carlo Planning
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UAI
2008
13 years 9 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»
14 years 1 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
14 years 26 days 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
12 years 11 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
13 years 9 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