Given observed data and a collection of parameterized candidate models, a 1- confidence region in parameter space provides useful insight as to those models which are a good fit t...
Brent Bryan, H. Brendan McMahan, Chad M. Schafer, ...
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
In this work, we develop a hierarchical load testing architecture using large scale virtual clients to reduce the testing time and ensure the stability of the server for distribut...
Abstract. To make a robot team perform a soccer game, various technologies must be developed. To date, we constructed a multi-sensor based mobile robot for robotic soccer research....
We compare two possible mechanisms to manage a peer-to-peer storage system, where participants can store data online on the disks of peers in order to increase data availability an...