We introduce a new formal model in which a learning algorithm must combine a collection of potentially poor but statistically independent hypothesis functions in order to approxima...
We present an algorithm for finding uniform strategies in multi-agent systems with incomplete information. The algorithm finds all maximal uniform strategies for agents with incomp...
Jan Calta, Dmitry Shkatov, Bernd-Holger Schlinglof...
This paper treats the problem of distributed planning in general-sum stochastic games with communication when the model is known. Our main contribution is a novel, game theoretic ...
The association of perception and action is key to learning by observation in general, and to programlevel task imitation in particular. The question is how to structure this info...
This paper proposes a method for dealing with repairs in action control dialogue to resolve participants' misunderstanding. The proposed method identifies the repair target b...