—For the sake of maximizing the network lifetime, we propose a novel placement scheme for mobile data collectors in Underwater Acoustic Sensor Networks (UASNs). Our scheme is bas...
—We propose a scheme for routing and placement of mobile data collectors in Underwater Acoustic Sensor Networks (UASNs). The proposed scheme maximizes the lifetime of the network...
Abstract. Learning to act in an unknown partially observable domain is a difficult variant of the reinforcement learning paradigm. Research in the area has focused on model-free m...
Self-Adapting Numerical Software (SANS) systems aim to bridge the knowledge gap that exists between the expertise of domain scientists, and the know-how that is needed to fulfill...
We present black-box techniques for learning how to interleave the execution of multiple heuristics in order to improve average-case performance. In our model, a user is given a s...
Matthew J. Streeter, Daniel Golovin, Stephen F. Sm...