This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...
Abstract: Q-learning and double Q-learning are well-known sample-based, off-policy reinforcement learning algorithms. However, Q-learning suffers from overestimation bias, while double Q-learning ...
Apple, Meta, and Google are locked in a fierce battle to lead the next wave of AI, and they’ve recently increased their focus on hardware. With its latest acquisition of the AI startup Q.ai, Apple ...
Abstract: In this paper, a new data-based Q-learning algorithm is proposed to address the optimal control issue for a class of discrete-time switched affine systems (SASs). The algorithm shifts the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results