We present a model-free reinforcement learning method for partially observable Markov decision problems. Our method estimates a likelihood gradient by sampling directly in paramet...
— Enriched with more and more intelligent devices modern homes rapidly transform into smart environments. Their growing capabilities enable the implementation of a new generation...
Grzegorz Lehmann, Andreas Rieger, Marco Blumendorf...
Complex networks, such as biological, social, and communication networks, often entail uncertainty, and thus, can be modeled as probabilistic graphs. Similar to the problem of sim...
Michalis Potamias, Francesco Bonchi, Aristides Gio...
—We evaluate the performance of the uplink of a 3GPP UTRAN Long Term Evolution (LTE) system with intra-site cooperation, where different sectors belonging to the same site may co...
—Some mobile ad hoc networks (MANETs) such as inter-vehicle communications require a transmission scheme that is robust to mobility and asynchronous reception with low setup over...
Tian Peng Ren, Yong Liang Guan, Chau Yuen, Rong Ju...