Abstract—In this contribution we present a decentralized power allocation algorithm for the uplink interleave division multiple access (IDMA) channel. Within the proposed optimal...
Samir Medina Perlaza, Laura Cottatellucci, M&eacut...
Abstract— This paper explores the problem of efficiently ordering interprocessor communication operations in both statically and dynamically-scheduled multiprocessors for iterat...
Although tabular reinforcement learning (RL) methods have been proved to converge to an optimal policy, the combination of particular conventional reinforcement learning techniques...
We present a method for transforming the infinite interactive state space of interactive POMDPs (I-POMDPs) into a finite one, thereby enabling the computation of exact solutions. ...
We exploit some useful properties of Gaussian process (GP) regression models for reinforcement learning in continuous state spaces and discrete time. We demonstrate how the GP mod...