Planning under uncertainty is an important and challenging problem in multiagent systems. Multiagent Partially Observable Markov Decision Processes (MPOMDPs) provide a powerful fr...
Which agent architectures are capable of justifying descriptions in terms of the `higher level' mental concepts applicable to human beings? We propose a new kind of architect...
In this paper, we discuss the use of Targeted Trajectory Distribution Markov Decision Processes (TTD-MDPs)—a variant of MDPs in which the goal is to realize a specified distrib...
Sooraj Bhat, David L. Roberts, Mark J. Nelson, Cha...
Abstract. Testing is the most common validation method in the software industry. It entails the execution of the software system in the real environment. Nevertheless, testing is a...
We believe intelligence does not dwell solely in brain but emerges from active interactions with environments through perception, action, and communication. This paper give an over...