Warning: You are viewing this site with an outdated/unsupported browser.
Please update your browser or consider using a different one in order to view this site without issue.
For a list of browsers that this site supports, see our Supported Browsers page.
Using Experience for Learning - Robotics Institute Carnegie Mellon UniversitySkip to content
Currently, work on Prodigy includes explanation-based learning, partial evaluation, experimentation, graphical knowledge acquisition, automatic abstraction, mixed-initiative planning, case-based reasoning and a number of real-world domains.
