Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
On the Internet, it is common practice to use a computer to provide web caching services. Such services aim to reduce network utilization and improve access time to a web page. Li...
R. Zuck, A. Williams, B. Kair, H. Bui, Catherine S...
Abstract. The enormous improvements in the efficiency of model-checking techniques in recent years facilitates their application to ever more complex systems of concurrent and dist...
Maurice H. ter Beek, Mieke Massink, Diego Latella,...
Structured peer to peer (P2P) systems organize a large number of nodes in well-defined structures and provide efficient and scalable search functionalities. They have been used as ...
In this paper, we derive optimal bidding strategies for a global bidder who participates in multiple, simultaneous second-price auctions with perfect substitutes. We first conside...
Enrico H. Gerding, Rajdeep K. Dash, David C. K. Yu...