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JAIR
2011
134views more  JAIR 2011»
13 years 3 months ago
Scaling up Heuristic Planning with Relational Decision Trees
Current evaluation functions for heuristic planning are expensive to compute. In numerous planning problems these functions provide good guidance to the solution, so they are wort...
Tomás de la Rosa, Sergio Jiménez, Ra...
ACG
2009
Springer
14 years 3 months ago
A Lock-Free Multithreaded Monte-Carlo Tree Search Algorithm
With the recent success of Monte-Carlo tree search algorithms in Go and other games, and the increasing number of cores in standard CPUs, the efficient parallelization of the sear...
Markus Enzenberger, Martin Müller 0003
ICRA
2007
IEEE
125views Robotics» more  ICRA 2007»
14 years 3 months ago
Single-Query Motion Planning with Utility-Guided Random Trees
— Randomly expanding trees are very effective in exploring high-dimensional spaces. Consequently, they are a powerful algorithmic approach to sampling-based single-query motion p...
Brendan Burns, Oliver Brock
ISMVL
1997
IEEE
82views Hardware» more  ISMVL 1997»
14 years 28 days ago
Finding Composition Trees for Multiple-Valued Functions
The composition tree of a given function, when it exists, provides a representation of the function revealing all possible disjunctive decompositions, thereby suggesting a realiza...
Elena Dubrova, Jon C. Muzio, Bernhard von Stengel
ICML
1990
IEEE
14 years 23 days ago
An Incremental Method for Finding Multivariate Splits for Decision Trees
Decision trees that are limited to testing a single variable at a node are potentially much larger than trees that allow testing multiple variables at a node. This limitation redu...
Paul E. Utgoff, Carla E. Brodley