Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
We present a General Linear Camera (GLC) model that unifies many previous camera models into a single representation. The GLC model is capable of describing all perspective (pinhol...
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...
This paper considers the eventual leader election problem in asynchronous message-passing systems where an arbitrary number t of processes can crash (t < n, where n is the tota...
Abstract— Flooding based strategies are conventionally employed to perform querying and broadcasting in sensor networks. These schemes have low hop-delays of Θ( 1 M(n) ) to reac...
Sundar Subramanian, Sanjay Shakkottai, Ari Arapost...