Michel Tokic

According to our database, Michel Tokic authored at least 17 papers between 2009 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Modeling System Dynamics with Physics-Informed Neural Networks Based on Lagrangian Mechanics.

Manuel A. Roehrl, Thomas A. Runkler, Veronika Brandtstetter, Michel Tokic, Stefan Obermayer

CoRR, 2020

Handling missing data in recurrent neural networks for air quality forecasting.

Michel Tokic, Anja von Beuningen, Christoph Tietz, Hans-Georg Zimmermann

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2017

A benchmark environment motivated by industrial control problems.

Daniel Hein, Stefan Depeweg, Michel Tokic, Steffen Udluft, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Batch reinforcement learning on the industrial benchmark: First experiences.

Daniel Hein, Steffen Udluft, Michel Tokic, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Introduction to the "Industrial Benchmark".

Daniel Hein, Alexander Hentschel, Volkmar Sterzing, Michel Tokic, Steffen Udluft

CoRR, 2016

2013

Reinforcement Learning mit adaptiver Steuerung von Exploration und Exploitation.

Michel Tokic

PhD thesis, 2013

Reinforcement Learning: Psychologische und neurobiologische Aspekte.

Michel Tokic

Künstliche Intell., 2013

Meta-Learning of Exploration and Exploitation Parameters with Replacing Eligibility Traces.

Michel Tokic, Friedhelm Schwenker, Günther Palm

Proceedings of the Partially Supervised Learning - Second IAPR International Workshop, 2013

2012

Conceptual Design of a Dynamic Risk-Assessment Server for Autonomous Robots.

Philipp Ertle, Michel Tokic, Tobias Bystricky, Marius Ebel, Holger Voos, Dirk Söffker

Proceedings of the ROBOTIK 2012, 2012

Towards learning of safety knowledge from human demonstrations.

Philipp Ertle, Michel Tokic, Richard Cubek, Holger Voos, Dirk Söffker

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Adaptive Exploration Using Stochastic Neurons.

Michel Tokic, Günther Palm

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Gradient Algorithms for Exploration/Exploitation Trade-Offs: Global and Local Variants.

Michel Tokic, Günther Palm

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2012

2011

Value-Difference Based Exploration: Adaptive Control between Epsilon-Greedy and Softmax.

Michel Tokic, Günther Palm

Proceedings of the KI 2011: Advances in Artificial Intelligence, 2011

Work in progress - Programming in a confined space - A case study in porting modern robot software to an antique platform.

Stacey L. Montresor, Jennifer S. Kay, Michel Tokic, Jonathan M. Summerton

Proceedings of the 2011 Frontiers in Education Conference, 2011

2010

Adaptive epsilon-Greedy Exploration in Reinforcement Learning Based on Value Difference.

Michel Tokic

Proceedings of the KI 2010: Advances in Artificial Intelligence, 2010

2009

The Teaching-Box: A universal robot learning framework.

Wolfgang Ertel, Markus Schneider, Richard Cubek, Michel Tokic

Proceedings of the 14th International Conference on Advanced Robotics, 2009

The Crawler, A Class Room Demonstrator for Reinforcement Learning.

Michel Tokic, Wolfgang Ertel, Joachim Fessler

Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference, 2009