The Crawler, A Class Room Demonstrator for Reinforcement Learning. - Michel Tokic; Wolfgang Ertel; Joachim Fessler (FLAIRS, 2009)

The Teaching-Box: A universal robot learning framework. - Wolfgang Ertel; Markus Schneider 005; Richard Cubek; Michel Tokic (ICAR, 2009)

Adaptive epsilon-Greedy Exploration in Reinforcement Learning Based on Value Difference. - Michel Tokic (KI, 2010)

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 (FIE, 2011)

Value-Difference Based Exploration: Adaptive Control between Epsilon-Greedy and Softmax. - Michel Tokic; Günther Palm (KI, 2011)

Gradient Algorithms for Exploration/Exploitation Trade-Offs: Global and Local Variants. - Michel Tokic; Günther Palm (ANNPR, 2012)

Adaptive Exploration Using Stochastic Neurons. - Michel Tokic; Günther Palm (ICANN (2), 2012)

Towards learning of safety knowledge from human demonstrations. - Philipp Ertle; Michel Tokic; Richard Cubek; Holger Voos; Dirk Söffker (IROS, 2012)

Conceptual Design of a Dynamic Risk-Assessment Server for Autonomous Robots. - Philipp Ertle; Michel Tokic; Tobias Bystricky; Marius Ebel; Holger Voos; Dirk Söffker (ROBOTIK, 2012)

Meta-Learning of Exploration and Exploitation Parameters with Replacing Eligibility Traces. - Michel Tokic; Friedhelm Schwenker; Günther Palm (PSL, 2013)

Reinforcement Learning: Psychologische und neurobiologische Aspekte. - Michel Tokic (Künstliche Intell., 2013)

Reinforcement Learning mit adaptiver Steuerung von Exploration und Exploitation. - Michel Tokic (2013)

Introduction to the "Industrial Benchmark". - Daniel Hein 001; Alexander Hentschel; Volkmar Sterzing; Michel Tokic; Steffen Udluft (CoRR, 2016)

Batch reinforcement learning on the industrial benchmark: First experiences. - Daniel Hein 001; Steffen Udluft; Michel Tokic; Alexander Hentschel; Thomas A. Runkler; Volkmar Sterzing (IJCNN, 2017)

A benchmark environment motivated by industrial control problems. - Daniel Hein 001; Stefan Depeweg; Michel Tokic; Steffen Udluft; Alexander Hentschel; Thomas A. Runkler; Volkmar Sterzing (SSCI, 2017)

Handling missing data in recurrent neural networks for air quality forecasting. - Michel Tokic; Anja von Beuningen; Christoph Tietz; Hans-Georg Zimmermann (ESANN, 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)