This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
Abstract. Network design involves several areas of engineering and science. Computer networks, electrical circuits, transportation problems, and phylogenetic trees are some example...
In the objective of building care team guidelines from field observations, this paper introduces a representation method for describing the medical collaborative activities during ...
Traditionally, representation has been perceived as a necessity for producing intelligent behavior. Once the right representation is in place to drive it, behavior unfolds as the ...
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...