Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
In this paper we propose a novel approach to decentralised coordination, that is able to efficiently compute solutions with a guaranteed approximation ratio. Our approach is base...
Alex Rogers, Alessandro Farinelli, Ruben Stranders...
Application specific instruction-set processors combine an efficient general purpose core with special purpose functionality that is tailored to a particular application domain. ...
Uwe Kastens, Dinh Khoi Le, Adrian Slowik, Michael ...
The economic impact of the growth dynamic of standards is often described from a macroeconomic point of view, employing network effect theory and models dealing with externalities...
Given that full duplex (FD) and MIMO both employ multiple antenna resources, an important question that arises is how to make the choice between MIMO and FD? We show that optimal ...
Ehsan Aryafar, Mohammad Ali Khojastepour, Karthike...