The existing reinforcement learning methods have been seriously suffering from the curse of dimension problem especially when they are applied to multiagent dynamic environments. ...
POMDPs are the models of choice for reinforcement learning (RL) tasks where the environment cannot be observed directly. In many applications we need to learn the POMDP structure ...
We investigate the problem of learning a widely-used latent-variable model – the Latent Dirichlet Allocation (LDA) or “topic” model – using distributed computation, where ...
David Newman, Arthur Asuncion, Padhraic Smyth, Max...
We present DeskPod, a portable system that provides a highly reliable desktop computing environment for mobile users by leveraging rapid improvements in capacity, cost, and size o...
The process of analyzing and using information is often collaborative in nature especially given the broad and multi-disciplinary tasks that we must support today. Collaboration r...