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AIPS
2007
13 years 9 months ago
Learning to Plan Using Harmonic Analysis of Diffusion Models
This paper summarizes research on a new emerging framework for learning to plan using the Markov decision process model (MDP). In this paradigm, two approaches to learning to plan...
Sridhar Mahadevan, Sarah Osentoski, Jeffrey Johns,...
ICRA
2010
IEEE
161views Robotics» more  ICRA 2010»
13 years 6 months ago
DisCoverage: A new paradigm for multi-robot exploration
— The main aspect in multi-robot exploration is the efficient coordination of a group of robots. Inspired by previous results on the coverage problem, we propose a novel, fronti...
A. Dominik Haumann, Kim D. Listmann, Volker Willer...
AAAI
2008
13 years 9 months ago
On-line Planning and Scheduling: An Application to Controlling Modular Printers
This paper summarizes recent work reported at ICAPS on applying artificial intelligence techniques to the control of production printing equipment. Like many other real-world appl...
Minh Binh Do, Wheeler Ruml, Rong Zhou
CGF
2011
12 years 11 months ago
Intrinsic Shape Matching by Planned Landmark Sampling
Recently, the problem of intrinsic shape matching has received a lot of attention. A number of algorithms have been proposed, among which random-sampling-based techniques have bee...
Art Tevs, Alexander Berner, Michael Wand, Ivo Ihrk...
JMLR
2008
124views more  JMLR 2008»
13 years 7 months ago
Learning Control Knowledge for Forward Search Planning
A number of today's state-of-the-art planners are based on forward state-space search. The impressive performance can be attributed to progress in computing domain independen...
Sung Wook Yoon, Alan Fern, Robert Givan