How should a reinforcement learning agent act if its sole purpose is to efficiently learn an optimal policy for later use? In other words, how should it explore, to be able to exp...
We are developing a conversational agent called VIBRANT to provide adaptive support for brainstorming in pairs in a scientific inquiry context. Our previous experimental study indi...
For a number of years we have been working towards the goal of automatically creating auction mechanisms, using a range of techniques from evolutionary and multi-agent learning. Th...
Steve Phelps, Kai Cai, Peter McBurney, Jinzhong Ni...
We present an actor-critic scheme for reinforcement learning in complex domains. The main contribution is to show that planning and I/O dynamics can be separated such that an intra...
Pedro Alejandro Ortega, Daniel Alexander Braun, Si...
What sort of democracies should open agent societies be? We present three normative models of democracy from political philosophy and consider their relevance for the engineering o...