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"Human-machine Authority Allocation in Indirect Cooperative Shared Stee" by Hongbo Wang, Lizhao Feng et al.

In the man-machine co-driving, most of the existing indirect cooperative shared steering control(ICSSC) strategies adopt fixed driver models and are designed based on rules. However, the fixed driver model is difficult to match with the actual situation, and the rule-based strategy is hard to be designed under the multi-dimensional feature input and the multi-objective conditions and require complicated parameters adjustment. A driver model that conforms to the driving characteristics of drivers with actual driving data is established, and an ICSSC strategy is proposed based on reinforcement learning in this paper, so as to realize the dynamic allocation of human-machine steering driving weight. Firstly, the vehicle dynamics model is established according to the vehicle longitudinal, lateral and yaw dynamics, the driver driving data is collected, and then the trajectory tracking MPC (Model Predictive Control) steering controller is designed. Secondly, DQN (Deep Q-Network), DDPG (Deep D ....

Model Predictive Control , Deepq Network , Deep Deterministic Policy Gradient , Twin Delayed Deep Deterministic Policy Gradient , Heuristic Algorithms , Human Machine Systems , Ndirect Shared Steering Control Strategy , An Machine Co Driving , Multi Objective , Reinforcement Learning , Resource Management , Vehicle Dynamics , Weight Distribution ,

A Study on Java Static Analysis Tool Reports

This study offers a thorough exploration of the effective triage of findings from Java static analysis tools utilizing cutting-edge machine learning techniques. ....

Geoffrey Hinton , Eurasipj Wirel , Springer International Publishing , University Of Gondar , Development Stages Based On Machine , Research Design , Network Analysis , Neural Networks , Java Android Data Flow Analysis System , Find Bugs , Policy Optimization , Deepq Network , Local Interpretable Model Agnostic Explanations , Spot Bugs , Issue Types Table , Hierarchical Attention , Java Static Analysis Tool , Static Analysis Tool Reports , Learning Approaches , Component Analysis , Acute Myocardial Infarction , Gondar Comprehensive , Specialized Hospital , Amhara Region , Polymerase Predictor , Efficient Fault Diagnosis Framework ,

PNNL Study Demos Deep Reinforcement Learning AI as Proactive Cyber Defense Tool

Looking for the latest Government Contracting News? Read about PNNL Study Demos Deep Reinforcement Learning AI as Proactive Cyber Defense Tool. ....

United States , Pacific Northwest National Laboratory , Association For The Advancement Of Artificial Intelligence , Pacific Northwest National , Deepq Network , Artificial Intelligence , Executive Gov , Free Daily Updates , News Briefings ,

Researchers Create an AI Cyber Defender That Reacts to Attackers

The system based on deep reinforcement learning can adapt to defenders' tactics and stop 95% of simulated attacks, according to its developers. ....

United States , Mahantesh Halappanavar , Samrat Chatterjee , Department Of Energy Pacific Northwest National Laboratory , Hiq Network , Association For The Advancement Of Artificial Intelligence , Pacific Northwest National Laboratory , Artificial Intelligence , System Uses , Deepq Network ,

Cybersecurity Defenders Are Expanding Their AI Toolbox

Cybersecurity Defenders Are Expanding Their AI Toolbox
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Department Of Energy , District Of Columbia , United States , Sarnab Bhattacharya , Ashutosh Dutta , Mahantesh Halappanavar , Samrat Chatterjee , Laboratory Directed Research , Office Of Science , Pacific Northwest National Laboratory , Association For The Advancement Of Artificial Intelligence , Artificial Intelligence , Abroad Attack , Daxiao Productions , Deepq Network , Artificial Reasoning ,