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 …
This was the first time I acted as a promotor after having been co-promotor several times. I was very happy it happened to be Frits. Together with him we started the work on the use of artificial intelligence in smart grids. His thesis on Resource-constrained Multi-agent Markov Decision Processes is …
The list of workshops for the ICAPS conference in Delft (June 25-26 2018) has been published. All have deadlines early March 2018 and notifications in April. Please click the links below for details. Acronym Workshop Organizers COPLAS Constraint Satisfaction Techniques for Planning and Scheduling Roman Bartak Miguel Salido HSDIP Heuristics …
The future energy systems needs smart algorithms. Matthijs Spaan and I spoke two hours about Smart Algorithms for Smart Grids (see presentation slides at Kivi or at SpeakerDeck) as part of the Data Science master class for engineers from the Kivi institute. Many intelligent systems aim to make sequences of …
When flexible electrical loads share remaining network capacity, the exact capacity available is usually not known in advance. Furthermore, there may be periods where there is no communication possible. Last week Frits de Nijs (as first author) submitted the final (camera-ready) version of a paper with Matthijs Spaan and me …
With Matthijs Spaan and help of many others, we are organizing the 28th International Conference on Automated Planning and Scheduling (ICAPS) in Delft. We have just sent out the call for papers. Please submit! The ICAPS 2018 program committee invites paper submissions related to automated planning and scheduling. Relevant contributions …
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 …
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 …