We describe a novel framework developed for transfer learning within reinforcement learning (RL) problems. Then we exhibit how this framework can be extended to intelligent tutorin...
Kimberly Ferguson, Beverly Park Woolf, Sridhar Mah...
In the context of the CelLEST project, we have been investigating the problem of reengineering and reusing the services provided by legacy applications, running on mainframe hosts...
Eleni Stroulia, Mohammad El-Ramly, Paul G. Sorenso...
Conventional contour tracking algorithms with level set often use generative models to construct the energy function. For tracking through cluttered and noisy background, however,...
This paper presents an architecture that makes it possible to construct dynamic systems capable of growing in dimension and adapting its knowledge to environmental changes. An arch...
The interplay between robotics and neuromechanics facilitates discoveries in both fields: nature provides roboticists with design ideas, while robotics research elucidates critical...
J. Lee, S. N. Sponberg, Owen Y. Loh, Andrew G. Lam...