| 2026 | ESANN | TSFM in-context learning for time-series classification of bearing-health status. | Michel Tokic, Slobodan Djukanovic, Anja von Beuningen, Cheng Feng |
| 2025 | ESANN | Data-Density guided Reinforcement Learning. | Leon Lantz, Maximilian Schieder, Michel Tokic |
| 2020 | ESANN | Handling missing data in recurrent neural networks for air quality forecasting. | Michel Tokic, Anja von Beuningen, Christoph Tietz, Hans-Georg Zimmermann |
| 2017 | IJCNN | Batch reinforcement learning on the industrial benchmark: First experiences. | Daniel Hein, Steffen Udluft, Michel Tokic, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing |
| 2012 | ICANN | Adaptive Exploration Using Stochastic Neurons. | Michel Tokic, Gnther Palm |
| 2012 | IROS | Towards learning of safety knowledge from human demonstrations. | Philipp Ertle, Michel Tokic, Richard Cubek, Holger Voos, Dirk Sffker |
| 2011 | FIE | 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 |
| 2011 | KI | Value-Difference Based Exploration: Adaptive Control between Epsilon-Greedy and Softmax. | Michel Tokic, Gnther Palm |
| 2010 | KI | Adaptive epsilon-Greedy Exploration in Reinforcement Learning Based on Value Difference. | Michel Tokic |
| 2009 | FlAIRS | The Crawler, A Class Room Demonstrator for Reinforcement Learning. | Michel Tokic, Wolfgang Ertel, Joachim Fessler |