For autonomous robots to operate in the open, dynamically changing world, they will need to be able to learn a robust set of skills from relatively little experience. This talk begins by introducing Grounded Simulation…
Algorithmic Improvisation, also called control improvisation, is a new framework for automatically synthesizing systems with random but controllable behavior. In this talk, I will present the theory of algorithmic improvisation and show how it can…
With the increasing integration of machine learning into real systems, it is crucial that trained models are optimized to reflect real-world tradeoffs. Increasing interest in proper evaluation has led to a wide variety of metrics…
