As previously announced, last week I had the pleasure to present our joint work with our partners from Ruhr-University Bochum on explainable reinforcement learning at the 8th Annual Conference on machine Learning, Optimization and Data science (LOD). The presentation sparked interesting questions and lead to inspiring discussions in the enchanting ambiance of the medieval monastery...
Researchers from TH Köln present at international conference LOD 2022
We are pleased to announce that we will present our research on explainable reinforcement learning at the 8th Annual Conference on machine Learning, Optimization and Data science (LOD). Starting with its first edition in 2015, the LOD is an established international and interdisciplinary forum for research and discussion of Deep Learning, Optimization, Big Data, and...
Deep Learning and Reinforcement Learning at BIOMA'2020
We are happy to announce that the CIOP group of TH Köln participated with two papers and two talks at the 9th International Conference BIOMA'2020 (Bioinspired Optimization Methods and Applications), which took place November 2020, 19th-20th, and was this year a completely online event: "Reinforcement Learning for N-Player Games: The Importance of Final Adaptation" by...
PhD Candidate from CIOP Group Wins Best Paper Award
Electrocardiogram with Anomalies Markus Thill, who is PhD student in our CIOP group, is working on developing new anomaly detection algorithms since 2017 under supervision of Prof. Wolfgang Konen. The field of anomaly detection, which is today often tackled with machine learning algorithms, became a hot topic in the last years. Thill's recent paper titled...
TH Köln presents at IEEE CONFERENCE ON GAMES (CoG) 2019, London, UK
Wolfgang Konen presented his work on General Board Game Playing at CoG'2019, the Conference on Games, which took place between 20-23 of August in London, UK. You can find the poster here and the accompanying paper here on arXiv. The General Board Game (GBG) Playing Framework is about computer agents that learn game strategies...
GECCO 2019, Prague, Czech Republic
This year, beautiful Prague hosted GECCO 2019, from 13th to 17th of July. GECCO -- standing for The Genetic and Evolutionary Computation Conference-- is an outstanding conference which brings many active scientists and PhD students together annually. We have presented a recent piece of our work in form of a poster. The work titled: "Online Whitening...
Deep Learning and Reinforcement Learning Summer School
The deep learning and reinforcement learning summer schools hosted by Canadian Institute For Advanced Research (CIFAR) and the Vector Institute are among the most prestigious summer schools in the field of machine learning and artificial intelligence. This year the summer school was taking place in Toronto, Canada from 25th of July till 3rd of August...
Free download of our ASOC Article until November, 02, 2017
If you are interested in our recent article Self-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets which appeared in the journal Applied Soft Computing (ASOC), please take the opportunity to follow this link: https://authors.elsevier.com/a/1Vj555aecSVnxb. For a period until November, 02, 2017, this link will provide the free download of the final journal article....
Samineh Bagheri Wins Best Student Paper Award
We are happy to announce that Samineh Bagheri has won the Best Student Paper Award at "IEEE Symposium Series on Computational Intelligence" (IEEE SSCI 2016), a conference held in Athens, Greece . Read more here ...
A New Repair Method For Constrained Optimization
Many real-world optimization problems are dealing with constraints. The valid solution for constrained optimization problems (COP) lies somewhere in the feasible region which is a sub-set of the input-space. The borders of the feasible area are defined by one or many constraints. Existance of constraints makes the optimization problems more demanding. There are different approaches to...