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» Learning to Race: Experiments with a Simulated Race Car
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TON
2008
74views more  TON 2008»
13 years 7 months ago
Race conditions in coexisting overlay networks
By allowing end hosts to make independent routing decisions at the application level, different overlay networks may unintentionally interfere with each other. This paper describes...
Ram Keralapura, Chen-Nee Chuah, Nina Taft, Gianluc...
CEC
2008
IEEE
14 years 1 months ago
Learning what to ignore: Memetic climbing in topology and weight space
— We present the memetic climber, a simple search algorithm that learns topology and weights of neural networks on different time scales. When applied to the problem of learning ...
Julian Togelius, Faustino J. Gomez, Jürgen Sc...
AADEBUG
1997
Springer
13 years 11 months ago
Modeling Intelligent System Execution as State Transition Diagrams to Support Debugging
Currently, few tools are available for assisting developers with debugging intelligent systems. Because these systems rely heavily on context dependent knowledge and sometimes sto...
Adele E. Howe, Gabriel Somlo
ICRA
2010
IEEE
147views Robotics» more  ICRA 2010»
13 years 5 months ago
A novel framework for closed-loop robotic motion simulation - part II: Motion cueing design and experimental validation
— This paper, divided in two Parts, considers the problem of realizing a 6-DOF closed-loop motion simulator by exploiting an anthropomorphic serial manipulator as motion platform...
Paolo Robuffo Giordano, Carlo Masone, Joachim Tesc...
ICRA
2010
IEEE
141views Robotics» more  ICRA 2010»
13 years 5 months ago
A novel framework for closed-loop robotic motion simulation - part I: Inverse kinematics design
— This paper considers the problem of realizing a 6-DOF closed-loop motion simulator by exploiting an anthropomorphic serial manipulator as motion platform. Contrary to standard ...
Paolo Robuffo Giordano, Carlo Masone, Joachim Tesc...