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Michel Tokic
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2020 – today
- 2020
- [c13]Michel Tokic, Anja von Beuningen, Christoph Tietz, Hans-Georg Zimmermann:
Handling missing data in recurrent neural networks for air quality forecasting. ESANN 2020: 351-356 - [i4]Manuel A. Roehrl, Thomas A. Runkler, Veronika Brandtstetter, Michel Tokic, Stefan Obermayer:
Modeling System Dynamics with Physics-Informed Neural Networks Based on Lagrangian Mechanics. CoRR abs/2005.14617 (2020)
2010 – 2019
- 2017
- [c12]Daniel Hein, Steffen Udluft, Michel Tokic, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing:
Batch reinforcement learning on the industrial benchmark: First experiences. IJCNN 2017: 4214-4221 - [c11]Daniel Hein, Stefan Depeweg, Michel Tokic, Steffen Udluft, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing:
A benchmark environment motivated by industrial control problems. SSCI 2017: 1-8 - [i3]Daniel Hein, Steffen Udluft, Michel Tokic, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing:
Batch Reinforcement Learning on the Industrial Benchmark: First Experiences. CoRR abs/1705.07262 (2017) - [i2]Daniel Hein, Stefan Depeweg, Michel Tokic, Steffen Udluft, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing:
A Benchmark Environment Motivated by Industrial Control Problems. CoRR abs/1709.09480 (2017) - 2016
- [i1]Daniel Hein, Alexander Hentschel, Volkmar Sterzing, Michel Tokic, Steffen Udluft:
Introduction to the "Industrial Benchmark". CoRR abs/1610.03793 (2016) - 2013
- [b1]Michel Tokic:
Reinforcement Learning mit adaptiver Steuerung von Exploration und Exploitation. University of Ulm, 2013 - [j1]Michel Tokic:
Reinforcement Learning: Psychologische und neurobiologische Aspekte. Künstliche Intell. 27(3): 213-219 (2013) - [c10]Michel Tokic, Friedhelm Schwenker, Günther Palm:
Meta-Learning of Exploration and Exploitation Parameters with Replacing Eligibility Traces. PSL 2013: 68-79 - 2012
- [c9]Michel Tokic, Günther Palm:
Gradient Algorithms for Exploration/Exploitation Trade-Offs: Global and Local Variants. ANNPR 2012: 60-71 - [c8]Michel Tokic, Günther Palm:
Adaptive Exploration Using Stochastic Neurons. ICANN (2) 2012: 42-49 - [c7]Philipp Ertle, Michel Tokic, Richard Cubek, Holger Voos, Dirk Söffker:
Towards learning of safety knowledge from human demonstrations. IROS 2012: 5394-5399 - [c6]Philipp Ertle, Michel Tokic, Tobias Bystricky, Marius Ebel, Holger Voos, Dirk Söffker:
Conceptual Design of a Dynamic Risk-Assessment Server for Autonomous Robots. ROBOTIK 2012 - 2011
- [c5]Stacey L. Montresor, Jennifer S. Kay, Michel Tokic, Jonathan M. Summerton:
Work in progress - Programming in a confined space - A case study in porting modern robot software to an antique platform. FIE 2011: 3 - [c4]Michel Tokic, Günther Palm:
Value-Difference Based Exploration: Adaptive Control between Epsilon-Greedy and Softmax. KI 2011: 335-346 - 2010
- [c3]Michel Tokic:
Adaptive epsilon-Greedy Exploration in Reinforcement Learning Based on Value Difference. KI 2010: 203-210
2000 – 2009
- 2009
- [c2]Michel Tokic, Wolfgang Ertel, Joachim Fessler:
The Crawler, A Class Room Demonstrator for Reinforcement Learning. FLAIRS 2009 - [c1]Wolfgang Ertel, Markus Schneider, Richard Cubek, Michel Tokic:
The Teaching-Box: A universal robot learning framework. ICAR 2009: 1-6
Coauthor Index
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