My student, Stavros Gerakaris, has been working on applying our multi agent learning ideas to the domain of Ad Exchanges. He is participating in the Sixteenth Annual Trading Agent Competition (TAC-15), conducted as part of AAMAS-15. His entry, entitled Edart, finished 2nd among the participants and 5th overall, the last year’s winners still did better than all of us. This earns us a spot in the finals. If you’d like to know more about the background and setup of this competition, see this paper by Mariano Schain and Yishay Mansour.
People familiar with AMEC/TADA will realise that the main objective of these competitions is to try out our original ideas in a demanding open ended domain. In this sense, I am especially pleased that this agent had begun to validate our more theoretical work in the form of the Harsanyi-Bellman Ad-hoc Coordination algorithm, originally developed by Stefano Albrecht, which Stavros is using in a partially observable and censored observation setting. In due course, this work will appear as a publication, so watch that space in our publications list.