| Adaptive ε-greedy exploration in reinforcement learning based on value differences M Tokic Annual Conference on Artificial Intelligence, 203-210, 2010 | 291 | 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 | 203 | 2011 |
| 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 | 32 | 2017 |
| 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 |
| The crawler, a class room demonstrator for reinforcement learning M Tokic, W Ertel, J Fessler Twenty-Second International FLAIRS Conference, 2009 | 25 | 2009 |
| Teaching Reinforcement Learning Using a Physical Robot M Tokic, H Bou Ammar Proceedings of the Workshop on Teaching Machine Learning at the 29th …, 2012 | 9 | 2012 |
| 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 | 8 | 2020 |
| Gradient algorithms for exploration/exploitation trade-offs: Global and local variants M Tokic, G Palm IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 60-71, 2012 | 8 | 2012 |
| Entwicklung eines lernenden laufroboters M Tokic Diplomarbeit, Hochschule Ravensburg-Weingarten, Doggenriedstrasse, 88250 …, 2006 | 8 | 2006 |
| 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 | 7 | 2017 |
| Adaptive exploration using stochastic neurons M Tokic, G Palm International Conference on Artificial Neural Networks, 42-49, 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 |
| 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 | 6 | 2013 |
| 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 |
| 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 | 5 | 2012 |
| Entwicklung eines lernfähigen Laufroboters M Tokic Diplomarbeit Hochschule Ravensburg-Weingarten, 2006. Inklusive …, 2006 | 4 | 2006 |
| Reinforcement Learning mit adaptiver Steuerung von Exploration und Exploitation M Tokic Universität Ulm, 2013 | 3 | 2013 |
| Reinforcement Learning: Psychologische und neurobiologische Aspekte M Tokic Künstliche Intelligenz 27 (3), 213-219, 2013 | 3 | 2013 |
| 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 |
| On an educational approach to behavior learning for robots M Tokic, A Usadel, J Fessler, W Ertel International Conference on Robotics in Education (RIE'2010), 2012 | 2 | 2012 |
Günther PalmProfessor für Neuroinformatik, Universität UlmVerified email at uni-ulm.de
