Johannes Günther
Johannes Günther
Alberta Machine Intelligence Institute and University of Alberta
Verified email at ualberta.ca
Title
Cited by
Cited by
Year
Intelligent laser welding through representation, prediction, and control learning: An architecture with deep neural networks and reinforcement learning
J Günther, PM Pilarski, G Helfrich, H Shen, K Diepold
Mechatronics 34, 1-11, 2016
692016
First steps towards an intelligent laser welding architecture using deep neural networks and reinforcement learning
J Günther, PM Pilarski, G Helfrich, H Shen, K Diepold
Procedia Technology 15, 474-483, 2014
502014
Machine intelligence for adaptable closed loop and open loop production engineering systems
J Günther
Technische Universität München, 2018
42018
Recurrent neural networks for pid auto-tuning
E Reichensdörfer, J Günther, K Diepold
42017
Detecting the onset of machine failure using anomaly detection methods
M Riazi, O Zaiane, T Takeuchi, A Maltais, J Günther, M Lipsett
International Conference on Big Data Analytics and Knowledge Discovery, 3-12, 2019
32019
Neural Networks for fast sensor data processing in Laser Welding
J Günther, H Shen, K Diepold
Jahreskolloquium-Bildverarbeitung in der Automation, 2014
32014
Gamma-Nets: Generalizing Value Estimation over Timescale
C Sherstan, S Dohare, J MacGlashan, J Günther, PM Pilarski
arXiv preprint arXiv:1911.07794, 2019
22019
Interpretable PID parameter tuning for control engineering using general dynamic neural networks: An extensive comparison
J Günther, E Reichensdörfer, PM Pilarski, K Diepold
arXiv preprint arXiv:1905.13268, 2019
2*2019
Predictions, Surprise, and Predictions of Surprise in General Value Function Architectures
J Günther, A Kearney, MR Dawson, C Sherstan, PM Pilarski
22018
Automated optimization of dynamic neural network structure using genetic algorithms
C Sandner, J Günther, K Diepold
22017
Meta-learning for Predictive Knowledge Architectures: A Case Study Using TIDBD on a Sensor-rich Robotic Arm
J Günther, A Kearney, NM Ady, MR Dawson, PM Pilarski
Proceedings of the 18th International Conference on Autonomous Agents and …, 2019
12019
Stacked denoising and stacked¨ convolutional autoencoders
U Schmid, J Günther, K Diepold
12017
Examining the Use of Temporal-Difference Incremental Delta-Bar-Delta for Real-World Predictive Knowledge Architectures
J Günther, NM Ady, A Kearney, MR Dawson, PM Pilarski
Frontiers in Robotics and AI 7, 34, 2020
2020
Evaluating Predictive Knowledge
A Kearney, A Koop, C Sherstan, J Gunther, RS Sutton, PM Pilarski, ...
2018
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Articles 1–14