From your draft paper,<p>"A few months ago, a graduate student in another country called me (Vaughan) to ask for the source code of one
of my multi-robot simulation experiments. The student had an idea for a modification that she thought would improve the system’s performance  ... we were able to offer the requesting student some code   that may or may not be that used in the paper. This was better than nothing, but not good enough, and we suspect this is quite typical in our community."<p>Fwiw I've had a  similair experience.<p>A few years ago I was reading Daphne Koller's "Using learning for approximation in stochastic processes" and it was a very elegant and powerful idea, but it didn't seem to me at the time that  there was enough detail in the paper to implement the algorithm and I wrote to Dr Koller and asked if she had source code available. She replied that her student had departed a decade ago and the code was effectively  lost.<p>Dr Koller was very helpful and clarified some doubts I had and in the end I managed to re implement the algorithm and so a happ ending after all but if code was archived and made public for every paper, it would have really helped.<p>Awesome that you guys are adopting this methodology.