With the increasing demand for public transportation due to congested highways, trains have become one of the most viable alternatives, especially for daily commuting. While trans...
A policy for a minimal reactive agent is a set of condition-action rules used to determine its response to perceived environmental stimuli. When the policy pre-disposes the agent t...
In this paper we extend a previously introduced method for optimizing the arbitration policy employed by ServerNet routers and we evaluate the method's effect on scalability....
Vladimir Shurbanov, Dimiter R. Avresky, Robert W. ...
In the model-based policy search approach to reinforcement learning (RL), policies are found using a model (or "simulator") of the Markov decision process. However, for ...
A grid has to provide strong incentive for participating sites to join and stay in it. Participating sites are concerned with the performance improvement brought by the gird for th...