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ATAL
2010
Springer
15 years 8 months ago
Learning multi-agent state space representations
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
Yann-Michaël De Hauwere, Peter Vrancx, Ann No...
ICRA
2008
IEEE
208views Robotics» more  ICRA 2008»
16 years 1 months ago
Unsupervised body scheme learning through self-perception
— In this paper, we present an approach allowing a robot to learn a generative model of its own physical body from scratch using self-perception with a single monocular camera. O...
Jürgen Sturm, Christian Plagemann, Wolfram Bu...
SASO
2008
IEEE
16 years 1 months ago
A Framework for Self-Protecting Cryptographic Key Management
Demands to match security with performance in Web applications where access to shared data needs to be controlled dynamically make self-protecting security schemes attractive. Yet...
Anne V. D. M. Kayem, Patrick Martin, Selim G. Akl,...
KR
2010
Springer
15 years 11 months ago
Diagnosis as Planning Revisited
In discrete dynamical systems change results from actions. As such, given a set of observations, diagnoses often take the form of posited events that result in the observed behavi...
Shirin Sohrabi, Jorge A. Baier, Sheila A. McIlrait...
173
Voted
CONTEXT
2001
Springer
15 years 11 months ago
A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...