We describe a generalized Q-learning type algorithm for reinforcement learning in competitive multi-agent games. We make the observation that in a competitive setting with adaptive...
Pieter Jan't Hoen, Sander M. Bohte, Han La Poutr&e...
Mainstreaming and industrialising agent technologies requires suitable methodological and technological support for the various engineering activities associated with managing the...
The trend toward pervasive computing necessitates finding and implementing appropriate ways for users to interact with devices. We believe the future of interaction with pervasive ...
Paul P. Maglio, Teenie Matlock, Christopher S. Cam...
Future middleware platforms will need to be more configurable in order to meet the demands of a wide variety of application domains. Furthermore, we believe that such platforms wil...
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...