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...
In trust negotiation and other distributed proving systems, networked entities cooperate to form proofs that are justified by collections of certified attributes. These attributes...
CCured is a program transformation system that adds memory safety guarantees to C programs by verifying statically that memory errors cannot occur and by inserting run-time checks...
Jeremy Condit, Matthew Harren, Scott McPeak, Georg...
In this paper, we address two issues of long-standing interest in the reinforcement learning literature. First, what kinds of performance guarantees can be made for Q-learning aft...
— As CMPs are emerging as the dominant architecture for a wide range of platforms (from embedded systems and game consoles, to PCs, and to servers) the need to manage on-chip res...