There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...
We investigate the computational complexity of testing dominance and consistency in CP-nets. Up until now, the complexity of dominance has been determined only for restricted clas...
We present a perception system, called Artisan, that semi-automatically builds 3-D models of a robot’s workspace. Range images are acquired with a scanning laser rangefinder an...
Andrew Edie Johnson, Regis Hoffman, Jim Osborn, Ma...
Our research addresses the issue of developing knowledge-based agents that capture and use the problem solving knowledge of subject matter experts from diverse application domains...
—Many companies now routinely run massive data analysis jobs – expressed in some scripting language – on large clusters of low-end servers. Many analysis scripts are complex ...