We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
Integrating complex enterprise systems is challenging and reliability and performance of the integrated systems can be problematic when using typical solutions of distributed tran...
John C. Grundy, Jun Bai, John Blackham, John G. Ho...
Multi-user environments, using 3D graphics, more and more find their way into areas like e-business, entertainment and cooperative work. Due to the increasing capabilities of hard...
In the problem of probability forecasting the learner’s goal is to output, given a training set and a new object, a suitable probability measure on the possible values of the ne...
We propose a scheme for modeling point sample geometry with statistical analysis. In our scheme we depart from the current schemes that deterministically represent the attributes ...