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» Learning to Improve both Efficiency and Quality of Planning
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ECAI
2008
Springer
13 years 9 months ago
Learning in Planning with Temporally Extended Goals and Uncontrollable Events
Recent contributions to advancing planning from the classical model to more realistic problems include using temporal logic such as LTL to express desired properties of a solution ...
André A. Ciré, Adi Botea
ICPR
2008
IEEE
14 years 8 months ago
Efficient user preference predictions using collaborative filtering
Two major challenges in collaborative filtering are the efficiency of the algorithms and the quality of the recommendations. A variety of machine learning methods have been applie...
C. Lee Giles, Yang Song
ICRA
2006
IEEE
131views Robotics» more  ICRA 2006»
14 years 1 months ago
Using Reinforcement Learning to Improve Exploration Trajectories for Error Minimization
Abstract— The mapping and localization problems have received considerable attention in robotics recently. The exploration problem that drives mapping has started to generate sim...
Thomas Kollar, Nicholas Roy
ICRA
2009
IEEE
196views Robotics» more  ICRA 2009»
13 years 5 months ago
CHOMP: Gradient optimization techniques for efficient motion planning
Abstract-- Existing high-dimensional motion planning algorithms are simultaneously overpowered and underpowered. In domains sparsely populated by obstacles, the heuristics used by ...
Nathan D. Ratliff, Matt Zucker, J. Andrew Bagnell,...
ICTAI
2005
IEEE
14 years 1 months ago
Subgoal Ordering and Granularity Control for Incremental Planning
In this paper, we study strategies in incremental planning for ordering and grouping subproblems partitioned by the subgoals of a planning problem when each subproblem is solved b...
Chih-Wei Hsu, Yixin Chen