3 papers
cs.AI2023
How to Data in Datathons
Carlos Mougan, Richard Plant, Clare Teng +7
The rise of datathons, also known as data or data science hackathons, has provided a platform to collaborate, learn, and innovate in a short timeframe. Despite their significant po…
cs.LG2021
Reinforcement Learning for Traffic Signal Control: Comparison with Commercial Systems
Alvaro Cabrejas-Egea, Raymond Zhang, Neil Walton
Recently, Intelligent Transportation Systems are leveraging the power of increased sensory coverage and computing power to deliver data-intensive solutions achieving higher levels…
cs.LG2020
Assessment of Reward Functions in Reinforcement Learning for Multi-Modal Urban Traffic Control under Real-World limitations
Alvaro Cabrejas-Egea, Colm Connaughton
Reinforcement Learning is proving a successful tool that can manage urban intersections with a fraction of the effort required to curate traditional traffic controllers. However, l…