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ICANN
2010
Springer
15 years 22 days ago
Exploring Continuous Action Spaces with Diffusion Trees for Reinforcement Learning
We propose a new approach for reinforcement learning in problems with continuous actions. Actions are sampled by means of a diffusion tree, which generates samples in the continuou...
Christian Vollmer, Erik Schaffernicht, Horst-Micha...
JFR
2006
108views more  JFR 2006»
14 years 11 months ago
Learning in a hierarchical control system: 4D/RCS in the DARPA LAGR program
The Defense Applied Research Projects Agency (DARPA) Learning Applied to Ground Vehicles (LAGR) program aims to develop algorithms for autonomous vehicle navigation that learn how...
James S. Albus, Roger Bostelman, Tommy Chang, Tsai...
EXPERT
1998
83views more  EXPERT 1998»
14 years 11 months ago
Data-Driven Constructive Induction
Constructive induction divides the problem of learning an inductive hypothesis into two intertwined searches: one—for the “best” representation space, and two—for the “be...
Eric Bloedorn, Ryszard S. Michalski
IROS
2008
IEEE
125views Robotics» more  IROS 2008»
15 years 6 months ago
Neighborhood denoising for learning high-dimensional grasping manifolds
— Human control of high degree-of-freedom robotic systems, e.g. anthropomorphic robot hands, is often difficult due to the overwhelming number of variables that need to be speci...
Aggeliki Tsoli, Odest Chadwicke Jenkins
79
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ECAI
1992
Springer
15 years 3 months ago
Shift of Bias without Operators
Just as the order defined by generality over concepts allows concept induction to be performed without generalisation/specialisation operators, so too the order defined by set inc...
Claudio Carpineto