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118
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ISRR
2005
Springer
154views Robotics» more  ISRR 2005»
15 years 6 months ago
Session Overview Planning
ys when planning meant searching for a sequence of abstract actions that satisfied some symbolic predicate. Robots can now learn their own representations through statistical infe...
Nicholas Roy, Roland Siegwart

Publication
222views
15 years 9 months ago
Algorithms and Bounds for Rollout Sampling Approximate Policy Iteration
Abstract: Several approximate policy iteration schemes without value functions, which focus on policy representation using classifiers and address policy learning as a supervis...
Christos Dimitrakakis, Michail G. Lagoudakis
97
Voted
MUE
2007
IEEE
81views Multimedia» more  MUE 2007»
15 years 6 months ago
Energy Consumption of Swarm Intelligence inspired Routing Algorithms in MANETs
Swarm Intelligence (SI) inspired routing algorithms have become a research focus in recent years due to their self-organizing nature, which is very suitable to the routing problem...
Jin Wang, Brian J. d'Auriol, Xiaoling Wu, Young-Ko...
JNW
2008
103views more  JNW 2008»
15 years 17 days ago
Avoidance Mechanism of Redundant Transmissions in Content Cruising System
"Content Cruising System (CCS)" is developed as a decentralized and autonomous distribution system for location-based contents. The content put into CCS carries itself to...
Takaaki Ishida, Keijiro Ehara, Seiichiro Toda, Yas...
110
Voted
CVPR
2007
IEEE
16 years 2 months ago
Utilizing Variational Optimization to Learn Markov Random Fields
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
Marshall F. Tappen