Michel Tokic

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Günther PalmProfessor für Neuroinformatik, Universität UlmVerified email at uni-ulm.de
Steffen UdluftLearning Systems, SiemensVerified email at siemens.com
Thomas RunklerProfessor of Computer Science, Siemens AG, Technische Universität MünchenVerified email at siemens.com
Wolfgang ErtelProfessor für Informatik, Institute for Artificial Intelligence, Ravensburg-Weingarten University ofVerified email at hs-weingarten.de
Manuel A. RoehrlTechnical University of Munich, Siemens AGVerified email at tum.de
Daniel HeinResearch Scientist, Siemens AGVerified email at siemens.com
Stefan DepewegSiemens AGVerified email at uos.de
Richard CubekInstitute of Artificial Intelligence, Ravensburg-Weingarten University of Applied SciencesVerified email at hs-weingarten.de
Dirk Soffker (Söffker, Soeffker)Professor, Dynamics and Control, University of Duisburg-EssenVerified email at uni-due.de
Philipp ErtleRobert Bosch GmbHVerified email at diligent-investment.de
Holger VoosUniversity of Luxembourg, SnT Automation & Robotics Research GroupVerified email at uni.lu
Markus SchneiderVerified email at linkdot.org
Haitham Bou-AmmarRL-Team Leader, BO-Team Leader, MAS-Team Leader @ Huawei London & H. Assistant Professor @ UCLVerified email at huawei.com
Friedhelm SchwenkerUlm University, Institute of Neural Information ProcessingVerified email at uni-ulm.de
Jennifer S. KayProfessor of Computer Science, Rowan UniversityVerified email at rednjen.com
Markus KaiserVerified email at cam.ac.uk
Andreas ZiehePostdoc researcher, TU BerlinVerified email at cs.tu-berlin.de
Paul von BünauManaging Director at idalab GmbHVerified email at idalab.de
Phillip SwazinnaAI Research Scientist, Siemens AGVerified email at tum.de
Danny PankninBerlin Institute of TechnologyVerified email at tu-berlin.de

Michel Tokic

Siemens AG, Munich

Verified email at tokic.com - Homepage

Machine Learning Artificial Intelligence Reinforcement Learning Pattern Recognition


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Adaptive ε-Greedy Exploration in Reinforcement Learning Based on Value Differences M Tokic Annual conference on artificial intelligence, 203-210, 2010	488	2010
Value-difference based exploration: adaptive control between epsilon-greedy and softmax M Tokic, G Palm KI 2011: Advances in Artificial Intelligence, 335-346, 2011	331	2011
Modeling system dynamics with physics-informed neural networks based on Lagrangian mechanics MA Roehrl, TA Runkler, V Brandtstetter, M Tokic, S Obermayer IFAC-PapersOnLine 53 (2), 9195-9200, 2020	98	2020
A benchmark environment motivated by industrial control problems D Hein, S Depeweg, M Tokic, S Udluft, A Hentschel, TA Runkler, ... 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017	69	2017
The crawler, a class room demonstrator for reinforcement learning M Tokic, W Ertel, J Fessler Twenty-Second International FLAIRS Conference, 2009	35	2009
The teaching-box: A universal robot learning framework W Ertel, M Schneider, R Cubek, M Tokicy Advanced Robotics, 2009. ICAR 2009. International Conference on, 1-6, 2009	30	2009
Batch reinforcement learning on the industrial benchmark: First experiences D Hein, S Udluft, M Tokic, A Hentschel, TA Runkler, V Sterzing 2017 International Joint Conference on Neural Networks (IJCNN), 4214-4221, 2017	18	2017
Teaching Reinforcement Learning Using a Physical Robot M Tokic, H Bou Ammar Proceedings of the Workshop on Teaching Machine Learning at the 29th …, 2012	13	2012
Gradient algorithms for exploration/exploitation trade-offs: Global and local variants M Tokic, G Palm Artificial Neural Networks in Pattern Recognition: 5th INNS IAPR TC 3 GIRPR …, 2012	9	2012
Meta-learning of exploration and exploitation parameters with replacing eligibility traces M Tokic, F Schwenker, G Palm IAPR International Workshop on Partially Supervised Learning, 68-79, 2013	8	2013
Entwicklung eines lernenden laufroboters M Tokic Diplomarbeit, Hochschule Ravensburg-Weingarten, Doggenriedstrasse, 88250 …, 2006	8	2006
Towards Learning of Safety Knowledge from Human Demonstrations P Ertle, M Tokic, R Cubek, H Voos, D Söffker International Conference on Intelligent Robots and Systems (IROS), 1-6, 2012	7	2012
Adaptive exploration using stochastic neurons M Tokic, G Palm Artificial Neural Networks and Machine Learning–ICANN 2012: 22nd …, 2012	7	2012
Introduction to the" Industrial Benchmark" D Hein, A Hentschel, V Sterzing, M Tokic, S Udluft arXiv preprint arXiv:1610.03793, 2016	6	2016
Robust Exploration/Exploitation trade-offs in safety-critical applications M Tokic, P Ertle, G Palm, D Söffker, H Voos IFAC Proceedings Volumes 45 (20), 660-665, 2012	6	2012
Reinforcement Learning mit adaptiver Steuerung von Exploration und Exploitation M Tokic Universität Ulm, 2013	5	2013
Reinforcement Learning: Psychologische und neurobiologische Aspekte M Tokic Künstliche Intelligenz 27 (3), 213-219, 2013	5	2013
Entwicklung eines lernfähigen Laufroboters M Tokic Diplomarbeit Hochschule Ravensburg-Weingarten, 2006. Inklusive …, 2006	5	2006
Reinforcement learning on a simple real walking robot M Tokic, W Ertel, HP Radtke, J Akmal, W Krökel Proceedings of the 29th Annual German Conference on Artificial Intelligence …, 2006	3	2006
Management of processes with temporal development into the past, in particular of processes taking place at the same time in industrial installations, with the aid of neural … M Tokic, A Von Beuningen, N Körwer, M Bischoff, D Grossenbacher, ... US Patent App. 18/214,121, 2024	2	2024

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