Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
- With the increased complexity of platforms coupled with data centers’ servers sprawl, power consumption is reaching unsustainable limits. Memory is an important target for plat...
In the k-medoid problem, given a dataset P, we are asked to choose k points in P as the medoids. The optimal medoid set minimizes the average Euclidean distance between the points ...
Abstract. Most cognitive studies of language acquisition in both natural systems and artificial systems have focused on the role of purely linguistic information as the central co...
—Carrier sensing is a medium access method widely adopted in wireless communication to protect data transfers from interference. For example, Distributed Coordination Function (D...