Learning to Move Cities: Deep Meta-Models and Reinforcement Policies for Calibration and Control in Urban Networks
Shared latent traffic models calibrate urban simulators and cut travel time by up to 51% with deep Q-learning.
2 stories, newest first · one card per story
Shared latent traffic models calibrate urban simulators and cut travel time by up to 51% with deep Q-learning.

Similarweb data shows ChatGPT regaining chatbot web traffic share to 55.5% while Gemini slipped to 25.6% and Claude grew to 9.3%.
Today 1.6K readers · 2.5K views · 778 reads · all time 189K views