We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
Functional labels provide a simple but very reusable way for defining the functionality of a system and for making use of that knowledge. Unlike more complex functional representa...
We present a technique for inducing functional programs from few, well chosen input/output-examples (I/Oexamples). Potential applications for automatic program or algorithm induct...
In this paper, we present an original method that aims at parcellating the cortical surface in regions functionally meaningful, from individual anatomy. The parcellation is obtaine...
Scientists need customizable tools to help them with discovery. We present an adjustable heuristic function for scientific discovery. This function may be considered in either a Mi...