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» Autonomic Reactive Systems via Online Learning
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ICAC
2006
IEEE
13 years 11 months ago
Fast and Effective Worm Fingerprinting via Machine Learning
— As Internet worms become ever faster and more sophisticated, it is important to be able to extract worm signatures in an accurate and timely manner. In this paper, we apply mac...
Stewart M. Yang, Jianping Song, Harish Rajamani, T...
DEBS
2007
ACM
13 years 9 months ago
Software architecture using fine-grained event-driven reactive components
In this paper, we describe design motivations and experience with a visual language that treats the architecture of a reactive system as a composition of small, asynchronous softw...
Paul Tarvydas, Norm Sanford
ICRA
2009
IEEE
227views Robotics» more  ICRA 2009»
13 years 12 months ago
Adaptive autonomous control using online value iteration with gaussian processes
— In this paper, we present a novel approach to controlling a robotic system online from scratch based on the reinforcement learning principle. In contrast to other approaches, o...
Axel Rottmann, Wolfram Burgard
AAAI
1990
13 years 6 months ago
Integrating, Execution, Planning, and Learning in Soar for External Environments
Three key components of an autonomous intelligent system are planning, execution, and learning. This paper describes how the Soar architecture supports planning, execution, and le...
John E. Laird, Paul S. Rosenbloom
CEC
2003
IEEE
13 years 10 months ago
Anytime coevolution of form and function
Abstract- This paper describes an approach to continuous coevolution of form (the morphology) and function (the control behavior) for autonomous vehicles. This study focuses on coe...
Magdalena D. Bugajska, Alan C. Schultz