Aerospace and Mechanical Insider on MSN

Multi-agent reinforcement learning driving smart factory agility

At the core of Industry 4.0, the smart factory integrates automation, mass customization, and self-organization into a highly ...
Nature

Autonomous driving using imitation learning with look ahead point for semi structured environments

Autonomous driving technology for semi-structured environments such as parking lots and alleyways is important for fully autonomous driving. Moreover, it is more difficult than driving in structured ...
InfoQ

Wayve's End-to-End Deep Learning Model for Self-Driving Cars

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Nature

Continuous improvement of self-driving cars using dynamic confidence-aware reinforcement learning

Today’s self-driving vehicles have achieved impressive driving capabilities, but still suffer from uncertain performance in long-tail cases. Training a reinforcement-learning-based self-driving ...
Forbes

Unsupervised Learning Enables Scalability For Autonomous Vehicles

Traditional approaches to autonomous vehicles (AVs) rely on using millions of miles of driving data in conjunction with even more miles of simulated data as inputs to supervised machine learning ...