Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
Abstract— A precoding technique applied to symbols transmitted in an ultra-wideband (UWB) system was proposed in [1], which can concentrate the signal power at the receiver to fa...
Yu-Hao Chang, Shang-Ho Tsai, Xiaoli Yu, C. C. Jay ...
We consider the problem of selecting the best among several heavy-tailed systems using a large deviations perspective. In contrast to the light-tailed setting studied by Glynn and...
This paper deals with ranking and selection problem via simulation. We present an optimal computing budget allocation technique which can select the best of k simulated designs. T...
This paper focuses on the mode decision and motion selection problem when H.264/AVC video streams are transcoded in spatial resolution. A fast downsizing transcoding scheme is dev...