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ATAL
2005
Springer
15 years 9 months ago
Tunably decentralized algorithms for cooperative target observation
Multi-agent problem domains may require distributed algorithms for a variety of reasons: local sensors, limitations of communication, and availability of distributed computational...
Sean Luke, Keith Sullivan, Liviu Panait, Gabriel C...
164
Voted
ROBOCUP
2004
Springer
114views Robotics» more  ROBOCUP 2004»
15 years 8 months ago
Modular Learning System and Scheduling for Behavior Acquisition in Multi-agent Environment
The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments such as RoboCup competitions since othe...
Yasutake Takahashi, Kazuhiro Edazawa, Minoru Asada
119
Voted
FLAIRS
2004
15 years 4 months ago
Cautious Cooperative Learning with Distributed Case-Based Reasoning
In this paper, we propose a cautious cooperative learning approach using distributed case-based reasoning. Our approach consists of two learning mechanisms: individual and coopera...
Leen-Kiat Soh
146
Voted
AVI
2004
15 years 4 months ago
Observing and adapting user behavior in navigational 3D interfaces
In a navigation-oriented interaction paradigm, such as desktop, mixed and augmented virtual reality, recognizing the user needs is a valuable improvement, provided that the system...
Augusto Celentano, Fabio Pittarello
PAMI
2010
207views more  PAMI 2010»
14 years 10 months ago
Document Ink Bleed-Through Removal with Two Hidden Markov Random Fields and a Single Observation Field
We present a new method for blind document bleed through removal based on separate Markov Random Field (MRF) regularization for the recto and for the verso side, where separate pri...
Christian Wolf