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ISRR
2005
Springer
154views Robotics» more  ISRR 2005»
15 years 9 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
16 years 26 days 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
MUE
2007
IEEE
81views Multimedia» more  MUE 2007»
15 years 10 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...
136
Voted
JNW
2008
103views more  JNW 2008»
15 years 3 months 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...
149
Voted
CVPR
2007
IEEE
16 years 5 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