The goal of Reinforcement learning (RL) is to maximize reward (minimize cost) in a Markov decision process (MDP) without knowing the underlying model a priori. RL algorithms tend ...
Agents in open and dynamic environments face the challenge of uncertainty while interacting with others to achieve their goals. They face quick and unforeseen changes to the behavi...
Spreadsheets applications allow data to be stored with low development overheads, but also with low data quality. Reporting on data from such sources is difficult using traditiona...
Because of information ubiquity, one observes an important trend towards transferring information management tasks from database systems to networks. We introduce the notion of Da...
Data-driven macroprogramming of wireless sensor networks (WSNs) provides an easy to use high-level task graph representation to the application developer. However, determining an e...