: This paper presents a coarse coding technique and an action selection scheme for reinforcement learning (RL) in multi-dimensional and continuous state-action spaces following con...
The paper investigates parameterized approximate message-passing schemes that are based on bounded inference and are inspired by Pearl’s belief propagation algorithm (BP). We st...
Robert Mateescu, Kalev Kask, Vibhav Gogate, Rina D...
The issue logic of dynamically scheduled superscalar processors is one of their most complex and power-consuming parts. In this paper we present alternative issue-logic designs th...
An implementation of persistent object store for real-time systems with strict processing time constraints is a challenging task, because many traditional database techniques, e.g....
Igor Nekrestyanov, Boris Novikov, Ekaterina Pavlov...
— This paper studies the fundamental limits of MIMO broadcast channels from a high level, determining the sum-rate capacity of the system as a function of system paramaters, such...