Cooperation ina task oriented multi-agent team is important because a well designed cooperation strategy among a group of cooperating agents can lead to an increase of the group p...
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
The generation of the set of all ground actions for a given set of ADL operators, which are allowed to have conditional effects and preconditions that can be represented using arbi...
We present a new approach to reinforcement learning in which the policies considered by the learning process are constrained by hierarchies of partially specified machines. This ...
Multi-threaded programming is difficult and error prone. It is easy to make a mistake in synchronization that produces a data race, yet it can be extremely hard to locate this mi...
Stefan Savage, Michael Burrows, Greg Nelson, Patri...