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pro vyhledávání: '"Candadai, Madhavun"'
Autor:
Candadai, Madhavun
One of the greatest research challenges of this century is to understand the neural basis for how behavior emerges in brain-body-environment systems. To this end, research has flourished along several directions but have predominantly focused on the
Externí odkaz:
http://arxiv.org/abs/2106.05186
This paper introduces \texttt{infotheory}: a package written in C++ and usable from Python and C++, for multivariate information theoretic analyses of discrete and continuous data. This package allows the user to study the relationship between compon
Externí odkaz:
http://arxiv.org/abs/1907.02339
The use of robotics in controlled environments has flourished over the last several decades and training robots to perform tasks using control strategies developed from dynamical models of their hardware have proven very effective. However, in many r
Externí odkaz:
http://arxiv.org/abs/1907.00269
Hierarchy in reinforcement learning agents allows for control at multiple time scales yielding improved sample efficiency, the ability to deal with long time horizons and transferability of sub-policies to tasks outside the training distribution. It
Externí odkaz:
http://arxiv.org/abs/1905.01537
Autor:
Candadai, Madhavun, Izquierdo, Eduardo
The brain in conjunction with the body is able to adapt to new environments and perform multiple behaviors through reuse of neural resources and transfer of existing behavioral traits. Although mechanisms that underlie this ability are not well under
Externí odkaz:
http://arxiv.org/abs/1802.03891
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Akademický článek
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Publikováno v:
2015 25th International Conference on Field Programmable Logic & Applications (FPL); 2015, p1-8, 8p
