We study the problem of agents locating other agents that are both capable and willing to help complete assigned tasks. An agent incurs a fixed cost for each help request it sends...
We are developing an automated crime reporting and investigative interview system. The system incorporates cognitive interview techniques to maximize witness memory recall, and in...
In this work we present the results of a comparative study between two well-known network simulators: ns-2 and OPNET Modeler. In particular, we focus on a performance evaluation o...
P. Pablo Garrido, Manuel P. Malumbres, Carlos Migu...
In this paper we propose a method for video delivery over bit error channels. In particular, we propose a rate distortion optimal method for slicing and unequal error protection (...
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 ...