Finally, deep learning may introduce instability or vulnerability to the control system, such as oscillations, overshoots, or attacks, which can compromise the safety and performance of the system ...

ENSC 813/413 - Deep Learning Systems in Engineering Spring 2022 Instructor. Ivan Bajic Office hours: Tuesdays, 1:00pm - 2:00pm PST, online (Canvas) Teaching Assistants. ... F. Chollet, Deep Learning ...

This article presents an online learning method for improved control of nonlinear systems by combining deep learning and fuzzy logic. Given the ability of deep learning to generalize knowledge from ...

[p1] Learning to Drive in a Day (Sep 2018) by Alex Kendall, Jeffrey Hawke, David Janz, Przemyslaw Mazur, Daniele Reda, John-Mark Allen, Vinh-Dieu Lam, Alex Bewley & Amar Shah [p2] Continuous Control ...

At NeurIPS 2019, Bengio discussed system 2 deep learning, a new generation of neural networks that can handle compositionality, out of order distribution, and causal structures.

In recent years, several studies have been conducted on the dynamic control of traffic signal durations using deep reinforcement learning with the aim of reducing traffic congestion. The unique ...

Deep learning is a highly advanced, sometimes controversial type of machine learning in which computer algorithms teach themselves the important features of a system and learn to make classifications ...

A drone control system based on deep reinforcement learning with Tensorflow and ROS - tobiasfshr/deep-reinforcement-learning-drone-control ...