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EUROCAST
2007
Springer
182views Hardware» more  EUROCAST 2007»
13 years 11 months ago
A k-NN Based Perception Scheme for Reinforcement Learning
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
José Antonio Martin H., Javier de Lope Asia...
HICSS
2003
IEEE
174views Biometrics» more  HICSS 2003»
13 years 10 months ago
Linking Perception and Action in a Control Architecture for Human-Robot Domains
Human-robot interaction is a growing research domain; there are many approaches to robot design, depending on the particular aspects of interaction being focused on. In this paper...
Monica N. Nicolescu, Maja J. Mataric
DAGM
1999
Springer
13 years 9 months ago
Cooperative Distributed Vision: Dynamic Integration of Visual Perception, Action, and Communication
We believe intelligence does not dwell solely in brain but emerges from active interactions with environments through perception, action, and communication. This paper give an over...
Takashi Matsuyama
BICA
2010
13 years 10 days ago
Application Feedback in Guiding a Deep-Layered Perception Model
Deep-layer machine learning architectures continue to emerge as a promising biologically-inspired framework for achieving scalable perception in artificial agents. State inference ...
Itamar Arel, Shay Berant
JIRS
2010
153views more  JIRS 2010»
13 years 3 months ago
Active Visual Perception for Mobile Robot Localization
Abstract Localization is a key issue for a mobile robot, in particular in environments where a globally accurate positioning system, such as GPS, is not available. In these environ...
Javier Correa, Alvaro Soto