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Task-Level Robot Learning: Ball Throwing
(1987-12-01)
We are investigating how to program robots so that they learn tasks from practice. One method, task-level learning, provides advantages over simply perfecting models of the robot's lower level systems. Task-level ...
Learning a Color Algorithm from Examples
(1987-06-01)
We show that a color algorithm capable of separating illumination from reflectance in a Mondrian world can be learned from a set of examples. The learned algorithm is equivalent to filtering the image data---in which ...
Roles of Knowledge in Motor Learning
(1987-02-01)
The goal of this thesis is to apply the computational approach to motor learning, i.e., describe the constraints that enable performance improvement with experience and also the constraints that must be satisfied by ...