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246 Einträge « 1 von 5 »

2022

Konen, Wolfgang

The GBG Class Interface Tutorial V2.3: General Board Game Playing and Learning Forschungsbericht

TH Köln 2022.

Links | BibTeX | Schlagwörter: CI, Game Learning, GBG, general game playing, learning, optimization, Reinforcement learning

Engelhardt, Raphael C.; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang

Sample-based Rule Extraction for Explainable Reinforcement Learning Konferenzbeitrag

In: 8th International Conference on machine Learning, Optimization, and Data Science (LOD2022), 2022.

BibTeX | Schlagwörter: decision trees, deep learning, explainable AI, Reinforcement learning, RL3

Scheiermann, Johannes; Konen, Wolfgang

AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time Artikel

In: arXiv preprint arXiv:2204.13307, 2022, (Preprint of the IEEE ToG 2022 paper).

Links | BibTeX | Schlagwörter: CI, Game Learning, GBG, general game playing, learning, optimization, Reinforcement learning

Scheiermann, Johannes; Konen, Wolfgang

AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time Artikel

In: IEEE Transactions on Games, 2022.

Links | BibTeX | Schlagwörter: AI, deep learning, Game Learning, GBG, learning, optimization, Reinforcement learning

2021

Bagheri, Samineh; Reinicke, Ulf; Anders, Denis; Konen, Wolfgang

Surrogate-assisted optimization for augmentation of finite element techniques Artikel

In: Journal of Computational Science, Bd. 54, S. 101427, 2021.

Links | BibTeX | Schlagwörter: FEM, optimization, SACOBRA, surrogate models

Engelhardt, Raphael C.; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang

Shedding light into the black box of reinforcement learning - extended abstract Konferenzbeitrag

In: Hammer, Barbara; Schilling, Malte; Wiskott, Laurenz (Hrsg.): Workshop on Trustworthy AI in the Wild (at: KI 2021 - German Conf. on AI), 2021.

Links | BibTeX | Schlagwörter: decision trees, deep learning, explainable AI, Reinforcement learning, RL3

Konen, Wolfgang; Bagheri, Samineh

Final adaptation reinforcement learning for N-player games Artikel

In: arXiv preprint arXiv:2111.14375, 2021.

Links | BibTeX | Schlagwörter: CI, Game Learning, GBG, general game playing, learning, optimization, Reinforcement learning

Thill, Markus; Konen, Wolfgang; Wang, Hao; Bäck, Thomas

Temporal convolutional autoencoder for unsupervised anomaly detection in time series Artikel

In: Applied Soft Computing, Bd. 112, S. 107751, 2021.

Links | BibTeX | Schlagwörter: anomaly detection, deep learning, TCN, time series

2020

Bagheri, Samineh

Self-Adjusting Surrogate-Assisted Optimization Techniques for Expensive Constrained Black Box Problems Promotionsarbeit

Leiden University and TH Köln, 2020, (PhD thesis).

BibTeX | Schlagwörter: BT-MT, machine learning, MONREP, optimization, RBF, SACOBRA, surrogate models

Konen, Wolfgang; Bagheri, Samineh

Final Adaptation Reinforcement Learning for N-Player Games Forschungsbericht

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) 2020.

Links | BibTeX | Schlagwörter: CI, Game Learning, GBG, general game playing, learning, optimization, Reinforcement learning

Konen, Wolfgang

The GBG Class Interface Tutorial V2.2: General Board Game Playing and Learning Forschungsbericht

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) 2020.

Links | BibTeX | Schlagwörter: CI, Game Learning, GBG, general game playing, learning, optimization, Reinforcement learning

Konen, Wolfgang

Die CO2-Kosten des Video-Streaming Artikel

In: Die Neue Hochschule (dnh), Bd. 3, S. 18-19, 2020.

Links | BibTeX | Schlagwörter: digital content, online teaching, video streaming

Thill, Markus; Konen, Wolfgang; Bäck, Thomas

Time Series Encodings with Temporal Convolutional Networks Konferenzbeitrag

In: Vasile, Bogdan Filipic Massimiliano (Hrsg.): 9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA), 2020.

Links | BibTeX | Schlagwörter: anomaly detection, deep learning, TCN, time series

Scheiermann, Johannes

Sind (trainierte) General-Purpose-RL-Agenten im Brettspiel Othello stärker als (untrainierte) General-Game-Playing Agenten? Forschungsbericht

TH Köln, Institut für Informatik 2020, (Praxisprojekt).

Links | BibTeX | Schlagwörter: AI, BT-MT, Game Learning, GBG, machine learning, Reinforcement learning

Scheiermann, Johannes

AlphaZero-inspirierte KI-Agenten im General Board Game Playing Abschlussarbeit

TH Köln -- University of Applied Sciences, 2020, (Bachelor thesis).

Links | BibTeX | Schlagwörter: AI, BT-MT, Game Learning, GBG, machine learning, Reinforcement learning

Konen, Wolfgang; Bagheri, Samineh

Reinforcement Learning for N-Player Games: The Importance of Final Adaptation Konferenzbeitrag

In: Vasile, Bogdan Filipic Massimiliano (Hrsg.): 9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA), Bruxelles, 2020.

Links | BibTeX | Schlagwörter: CI, Game Learning, GBG, general game playing, learning, optimization, Reinforcement learning

2019

Cöln, Julian; Dittmar, Yannick

Untersuchung von KI Agenten im Spiel Othello Forschungsbericht

TH Köln, Institut für Informatik 2019.

Links | BibTeX | Schlagwörter: AI, BT-MT, Game Learning, GBG, machine learning, Reinforcement learning

Konen, Wolfgang

General Board Game Playing for Education and Research in Generic AI Game Learning Konferenzbeitrag

In: Perez, Diego; Mostaghim, Sanaz; Lucas, Simon (Hrsg.): IEEE Conference on Games, London, 2019.

Links | BibTeX | Schlagwörter: CI, Game Learning, GBG, general game playing, learning, optimization, Reinforcement learning

Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas

Solving Optimization Problems with High Conditioning by Means of Online Whitening Konferenzbeitrag

In: Lopez-Ibanez, Manuel (Hrsg.): Genetic and Evolutionary Computation Conference 2019 (GECCO'19), Prague, S. 243-244, ACM, 2019.

Links | BibTeX | Schlagwörter: CI, constraints, MONREP, optimization, SACOBRA, surrogate models

Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas

SACOBRA with Online Whitening for Solving Optimization Problems with High Conditioning Forschungsbericht

arXiv preprint arXiv:1904.08397 2019.

Links | BibTeX | Schlagwörter: optimization, SACOBRA, surrogate models

Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas

How to Solve the Dilemma of Margin-Based Equality Constraint Handling Methods Artikel

In: at-Automatisierungstechnik, Bd. submitted, 2019.

BibTeX | Schlagwörter: optimization, SACOBRA, surrogate models

Buhl, Henning; Konen, Wolfgang; Thill, Markus

Deep Learning mit Keras und Tensorflow Sonstige

Vortrag auf DEBRL2019 (Digital Exchange Bergisches Rheinland 2019), 2019.

Links | BibTeX | Schlagwörter: deep learning

Barsnick, Felix

Implementierung und Untersuchung eines Turniersystems für KI-Agenten in Brettspielen Abschlussarbeit

TH Köln -- University of Applied Sciences, 2019, (Master thesis).

Links | BibTeX | Schlagwörter: BT-MT, Elo, Game Learning, GBG, Glicko, machine learning, Reinforcement learning

Thill, Markus; Däubner, Sina; Konen, Wolfgang; Bäck, Thomas

Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks Konferenzbeitrag

In: á, Petra Barancíkov; Holena, Martin; others, (Hrsg.): Proc. 19th Conference Information Technologies - Applications and Theory (ITAT 2019), 2019, (Best Paper Award).

Links | BibTeX | Schlagwörter: anomaly detection, deep learning, LSTM, time series

2018

Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas

How to Solve the Dilemma of Margin-Based Equality Handling Methods Konferenzbeitrag

In: Hoffmann, Frank; Hüllermeier, Eyke; Mikut, Ralf (Hrsg.): Proceedings - 28. Workshop Computational Intelligence, Dortmund, 29. - 30. November 2018, S. 257-270, KIT Scientific Publishing, Karlsruhe, 2018, ISBN: 978-3-7315-0845-8, (Young Author Award).

Links | BibTeX | Schlagwörter: equality constraint, optimization, SACOBRA, surrogate models

Thill, Markus; Konen, Wolfgang; Bäck, Thomas

Online Adaptable Time Series Anomaly Detection with Discrete Wavelet Transforms and Multivariate Gaussian Distributions Forschungsbericht

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) TH Köln - University of Applied Science, 2018, (submitted to Archives of Data Sciences, Series A (ECDA'2018), preprint available at http://www.gm.fh-koeln.de/ciopwebpub/Thill18a.d/AoDS2018.pdf).

Links | BibTeX | Schlagwörter: anomaly detection, DWT, maximum likelihood estimation, time series, wavelet transform

Konen, Wolfgang; Koch, Patrick

The TDMR 2.0 Package: Tuned Data Mining in R Forschungsbericht

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, Nr. 02/2018, 2018, (Last update: April 2018 (original version: 2012)).

Links | BibTeX | Schlagwörter: parameter tuning, SOMA, TDMR

Konen, Wolfgang; Koch, Patrick

The TDMR 2.0 Tutorial: Examples for Tuned Data Mining in R Forschungsbericht

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, Nr. 03/2018, 2018, (Last update: April 2018 (original version: 2012)).

Links | BibTeX | Schlagwörter: parameter tuning, SOMA, TDMR

2017

Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas

Comparing Kriging and Radial Basis Function Surrogates Konferenzbeitrag

In: Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 27. Workshop Computational Intelligence, S. 243-259, Universitätsverlag Karlsruhe, 2017.

Links | BibTeX | Schlagwörter: CI, constraints, Kriging, MONREP, optimization, SACOBRA, surrogate models

Thill, Markus; Konen, Wolfgang; Bäck, Thomas

Anomaly Detection in Time Series with Discrete Wavelet Transforms and Maximum Likelihood Estimation Konferenzbeitrag

In: Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 27. Workshop Computational Intelligence, S. 67-71, Universitätsverlag Karlsruhe, 2017.

Links | BibTeX | Schlagwörter: anomaly detection, DWT, time series

Bagheri, Samineh; Konen, Wolfgang; Allmendinger, Richard; Branke, Jürgen; Deb, Kalyanmoy; Fieldsend, Jonathan; Quagliarella, Domenico; Sindhya, Karthik

Constraint Handling in Efficient Global Optimization Konferenzbeitrag

In: Bosman, Peter A N (Hrsg.): Genetic and Evolutionary Computation Conference 2017 (GECCO'17), Berlin, S. 1, ACM, 2017.

Links | BibTeX | Schlagwörter: CI, constraints, Kriging, MONREP, optimization, SACOBRA, surrogate models

Thill, Markus; Konen, Wolfgang; Bäck, Thomas

Time Series Anomaly Detection with Discrete Wavelet Transforms and Maximum Likelihood Estimation Konferenzbeitrag

In: Valenzuela, Olga; Rojas, Ignacio; others, (Hrsg.): International Work-Conference on Time Series (ITISE2017), 2017.

Links | BibTeX | Schlagwörter: anomaly detection, DWT, time series

Bagheri, Samineh; Konen, Wolfgang; Emmerich, Michael; Bäck, Thomas

Self-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets Artikel

In: Applied Soft Computing, Bd. 61, S. 377–393, 2017, ISSN: 1568-4946.

Links | BibTeX | Schlagwörter: CI, constraints, MONREP, optimization, SACOBRA, surrogate models

Galitzki, Kevin

Selbstlernende Agenten für das skalierbare Spiel Hex: Untersuchung verschiedener KI-Verfahren im GBG-Framework Abschlussarbeit

TH Köln -- University of Applied Sciences, 2017, (Bachelor thesis).

Links | BibTeX | Schlagwörter: BT-MT, CI, Game Learning, GBG, learning, optimization, Reinforcement learning

Kutsch, Johannes

KI-Agenten fur das Spiel 2048: Untersuchung von Lernalgorithmen für nichtdeterministische Spiele Abschlussarbeit

TH Köln -- University of Applied Sciences, 2017, (Bachelor thesis).

Links | BibTeX | Schlagwörter: BT-MT, CI, Game Learning, GBG, learning, optimization, Reinforcement learning

Thill, Markus; Konen, Wolfgang; Bäck, Thomas

Online anomaly detection on the Webscope S5 dataset: A comparative study Konferenzbeitrag

In: IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2017), S. 1, Springer 2017.

Links | BibTeX | Schlagwörter: anomaly detection, time series

2016

Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas

Online Selection of Surrogate Models for Constrained Black-Box Optimization Konferenzbeitrag

In: Jin, Yaochu (Hrsg.): SSCI'2016, Athens, S. 1, IEEE, 2016, (Best Student Paper Award).

Links | BibTeX | Schlagwörter: CI, constraints, ensemble, MONREP, optimization, SACOBRA

Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas

Equality Constraint Handling for Surrogate-Assisted Constrained Optimization Konferenzbeitrag

In: Tan, Kay Chen (Hrsg.): WCCI'2016, Vancouver, S. 1, IEEE, 2016.

Links | BibTeX | Schlagwörter: CI, constraints, MONREP, optimization, SACOBRA

2015

Bagheri, Samineh; Konen, Wolfgang; Foussette, Christophe; Krause, Peter; Bäck, Thomas; Koch, Patrick

SACOBRA: Self-Adjusting Constrained Black-Box Optimization with RBF Konferenzbeitrag

In: Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 25. Workshop Computational Intelligence, S. 87-98, Universitätsverlag Karlsruhe, 2015, (Young Author Award GMA-CI).

Links | BibTeX | Schlagwörter: CI, constraints, MONREP, optimization

Konen, Wolfgang

Reinforcement Learning for Board Games: The Temporal Difference Algorithm Forschungsbericht

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Sciences, 2015.

Links | BibTeX | Schlagwörter: Game Learning, learning, Reinforcement learning

Koch, Patrick; Wagner, Tobias; Emmerich, Michael; Bäck, Thomas; Konen, Wolfgang

Efficient multi-criteria optimization on noisy machine learning problems Artikel

In: Applied Soft Computing, Bd. 29, S. 357-370, 2015.

Links | BibTeX | Schlagwörter: machine learning, TDMR

Bagheri, Samineh; Thill, Markus; Koch, Patrick; Konen, Wolfgang

Online Adaptable Learning Rates for the Game Connect-4 Artikel

In: IEEE Transactions on Computational Intelligence and AI in Games, Bd. (accepted 11/2014), S. 1, 2015.

Links | BibTeX | Schlagwörter: Game Learning, learning, Reinforcement learning

Koch, Patrick; Bagheri, Samineh; Konen, Wolfgang; Foussette, Christophe; Krause, Peter; Bäck, Thomas

A New Repair Method For Constrained Optimization Konferenzbeitrag

In: Jiménez-Laredo, Juan Luis (Hrsg.): Proceedings of the 17th Genetic and Evolutionary Computation Conference, 2015, (accepted).

BibTeX | Schlagwörter: constraint, MONREP, optimization

Konen, Wolfgang

Reinforcement Learning für Brettspiele: Der Temporal Difference Algorithmus Forschungsbericht

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Sciences, 2015, (Updated version 2015).

Links | BibTeX | Schlagwörter: Game Learning, learning, Reinforcement learning

Konen, Wolfgang

The rCMA Tutorial: Examples for using CMA-ES in R Forschungsbericht

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, 2015.

Links | BibTeX | Schlagwörter: constraint, MONREP, optimization, rCMA

2014

Bagheri, Samineh; Thill, Markus; Koch, Patrick; Konen, Wolfgang

Online Adaptable Learning Rates for the Game Connect-4 Forschungsbericht

CIplus Nr. TR 03/2014, 2014, (Preprint version of the article in IEEE Transactions on Computational Intelligence and AI in Games, 2015).

Links | BibTeX | Schlagwörter: Game Learning, learning, Reinforcement learning

Koch, Patrick; Bagheri, Samineh; Foussette, Christophe; Krause, Peter; Bäck, Thomas; Konen, Wolfgang

Constrained Optimization with a Limited Number of Function Evaluations Konferenzbeitrag

In: Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 24. Workshop Computational Intelligence, S. 119–134, Universitätsverlag Karlsruhe, 2014, (Young Author Award GMA-CI).

Links | BibTeX | Schlagwörter: MONREP, optimization

Konen, Wolfgang; Koch, Patrick

Adaptation in Nonlinear Learning Models for Nonstationary Tasks Konferenzbeitrag

In: Filipic, Bogdan (Hrsg.): PPSN'2014: 13th International Conference on Parallel Problem Solving From Nature, Ljubljana, Springer, Heidelberg, 2014.

Links | BibTeX | Schlagwörter: Game Learning, learning, Reinforcement learning

Liebig, Kay N.; Maslehaty, Homajoun; Petridis, Athanasios K.; Konen, Wolfgang; Scholz, Martin

Comparison of two algorithms for the application of real time image mosaicking in neuroendoscopy Artikel

In: Journal of Neurosurgery, Bd. 121, Nr. 3, S. 688 – 699, 2014.

Abstract | BibTeX | Schlagwörter: BV-3D-Endo, computer vision, image mosaic, LogSearch algorithm, neuroendoscopy

Thill, Markus; Bagheri, Samineh; Koch, Patrick; Konen, Wolfgang

Temporal Difference Learning with Eligibility Traces for the Game Connect-4 Konferenzbeitrag

In: Preuss, Mike; Rudolph, Günther (Hrsg.): CIG'2014, International Conference on Computational Intelligence in Games, Dortmund, 2014.

Links | BibTeX | Schlagwörter: Game Learning, learning, Reinforcement learning

246 Einträge « 1 von 5 »

 


Search Field

246 Einträge « 1 von 25 »
1.

Konen, Wolfgang

The GBG Class Interface Tutorial V2.3: General Board Game Playing and Learning Forschungsbericht

TH Köln 2022.

Links | BibTeX

2.

Engelhardt, Raphael C.; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang

Sample-based Rule Extraction for Explainable Reinforcement Learning Konferenzbeitrag

In: 8th International Conference on machine Learning, Optimization, and Data Science (LOD2022), 2022.

BibTeX

3.

Scheiermann, Johannes; Konen, Wolfgang

AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time Artikel

In: arXiv preprint arXiv:2204.13307, 2022, (Preprint of the IEEE ToG 2022 paper).

Links | BibTeX

4.

Scheiermann, Johannes; Konen, Wolfgang

AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time Artikel

In: IEEE Transactions on Games, 2022.

Links | BibTeX

5.

Bagheri, Samineh; Reinicke, Ulf; Anders, Denis; Konen, Wolfgang

Surrogate-assisted optimization for augmentation of finite element techniques Artikel

In: Journal of Computational Science, Bd. 54, S. 101427, 2021.

Links | BibTeX

6.

Engelhardt, Raphael C.; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang

Shedding light into the black box of reinforcement learning - extended abstract Konferenzbeitrag

In: Hammer, Barbara; Schilling, Malte; Wiskott, Laurenz (Hrsg.): Workshop on Trustworthy AI in the Wild (at: KI 2021 - German Conf. on AI), 2021.

Links | BibTeX

7.

Konen, Wolfgang; Bagheri, Samineh

Final adaptation reinforcement learning for N-player games Artikel

In: arXiv preprint arXiv:2111.14375, 2021.

Links | BibTeX

8.

Thill, Markus; Konen, Wolfgang; Wang, Hao; Bäck, Thomas

Temporal convolutional autoencoder for unsupervised anomaly detection in time series Artikel

In: Applied Soft Computing, Bd. 112, S. 107751, 2021.

Links | BibTeX

9.

Bagheri, Samineh

Self-Adjusting Surrogate-Assisted Optimization Techniques for Expensive Constrained Black Box Problems Promotionsarbeit

Leiden University and TH Köln, 2020, (PhD thesis).

BibTeX

10.

Konen, Wolfgang; Bagheri, Samineh

Final Adaptation Reinforcement Learning for N-Player Games Forschungsbericht

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) 2020.

Links | BibTeX

246 Einträge « 1 von 25 »