Abstract: Deep Reinforcement Learning (DRL) allows agents to make decisions in a specific environment based on a reward function, without prior knowledge. Adapting hyperparameters significantly ...

Berlin’s Superbooth is probably the most significant date in the modular synth calendar. Seemingly every Eurorack developer and their CV-toting mother had some sort of presence at the Fez Centre this ...

Abstract: With the current booming applications of virtual reality, augmented reality, and robotics, efficiently extracting the maximum consensus set among large-scale corrupted data has become a ...

This repository provides an official CUDA/cuDNN-accelerated extension of the Neural Network Libraries deep learning framework. See Mixed precision training tutorial for a stable training technique ...

1 College of Railway Transportation, Hunan University of Technology, Zhuzhou, China. 2 Jiangsu Shengtong Electric New Energy Technology Co., Ltd., Changsha, China. 3 Huazi Technology Co., Ltd., ...

With the recent explosion in the amount, the variety, and the dimensionality of available data, identifying, extracting, and exploiting their underlying structure has become a problem of fundamental ...