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Coordination

Reinforcement Learning in the Wind

Deep reinforcement learning is an AI technique for choosing how to act in different situations repeatedly occurring over time. It has shown tremendous success in playing games, such as ATARI video games, chess, Go, and StarCraft, going as far as beating professional human players. While games present certain interesting scientific …

Picture by Kārlis Dambrāns Licence: CC BY 2.0: https://creativecommons.org/licenses/by/2.0/

Paying Someone for Not Using a Resource is a Bad Idea

When organizations are putting significant effort in innovations and pilot projects and as scientists we have our doubts about the theoretical foundations of the new approach, I strongly believe it is our obligation to warn those organizations. Of course this is particularly the case if these are governmental organizations that …

Scientific advisor at Dutch Railways (NS)

Last week I started at the Dutch Railways in Bob Huisman’s group on Maintenance Research and Development as a scientific advisor, for one day a week. My aim is to support and further increase the exchange of knowledge and experience between Dutch Railways and Delft University of Technology. I aim …

Solving Road Congestion Problems with Algorithms?

State-of-the-art in-car navigation systems contribute to preventing road congestion, because avoiding traffic jams helps dissolving it. Currently, the more advanced systems already are using both historic travel times as well as recently observed travel times to estimate future travel times for road segments, and base their route navigation advice upon …