Johannes Günther

Postdoc, University of Alberta

Joined

July 2019

Names

Johannes Günther (Preferred)

Emails

****@ualberta.ca (Confirmed)

,

****@tum.de (Confirmed)

Personal Links

Career & Education History

Postdoc

University of Alberta (ualberta.ca)

2018 – Present

PhD student

Technical University Munich (tum.de)

2012 – 2018

Advisors, Relations & Conflicts

No relations added

Expertise

Reinforcement Learning

2012 – Present

Neural Networks

2012 – Present

Publications

Feasibility Study of Dendritic Gated Networks for Upper Limb Prosthetic Control
Laura C. Petrich, Heather E. Williams, Johannes Günther, Matthew E. Taylor, Patrick M. Pilarski
- In 2024 6th International Conference on Neurorehabilitation (ICNR)
- Readers: Everyone
Explainability of deep reinforcement learning algorithms in robotic domains by using Layer-wise Relevance Propagation
Mehran Taghian Jazi, Shotaro Miwa, Yoshihiro Mitsuka, Johannes Günther, Shadan Golestan, Osmar Zaiane
- Engineering Applications of Artificial Intelligence
- Readers: Everyone
Gamma-Nets: Generalizing Value Estimation over Timescale
Craig Sherstan, Shibhansh Dohare, James MacGlashan, Johannes Günther, Patrick M. Pilarski
- 09 May 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Explainability of deep reinforcement learning algorithms in robotic domains by using Layer-wise Relevance Propagation
Mehran Taghian Jazi, Shotaro Miwa, Yoshihiro Mitsuka, Johannes Günther, Osmar Zaiane
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Examining the Use of Temporal-Difference Incremental Delta-Bar-Delta for Real-World Predictive Knowledge Architectures.
Johannes Günther, Nadia M. Ady, Alex Kearney, Michael Rory Dawson, Patrick M. Pilarski
- 2020 (modified: 09 Nov 2022)
- Front. Robotics and AI2020
- Readers: Everyone
Gamma-Nets: Generalizing Value Estimation over Timescale
Craig Sherstan, Shibhansh Dohare, James MacGlashan, Johannes Günther, Patrick M. Pilarski
- 2020 (modified: 10 Apr 2023)
- AAAI 2020
- Readers: Everyone
Meta-learning for Predictive Knowledge Architectures: A Case Study Using TIDBD on a Sensor-rich Robotic Arm.
Johannes Günther, Alex Kearney, Nadia M. Ady, Michael Rory Dawson, Patrick M. Pilarski
- 2019 (modified: 09 Nov 2022)
- AAMAS2019
- Readers: Everyone
General Dynamic Neural Networks for explainable PID parameter tuning in control engineering: An extensive comparison
Johannes Günther, Elias Reichensdörfer, Patrick M. Pilarski, Klaus Diepold
- 2019 (modified: 06 Nov 2022)
- CoRR 2019
- Readers: Everyone
Detecting the Onset of Machine Failure Using Anomaly Detection Methods
Mohammad Riazi, Osmar R. Zaïane, Tomoharu Takeuchi, Anthony Maltais, Johannes Günther, Micheal Lipsett
- 2019 (modified: 06 Nov 2022)
- DaWaK 2019
- Readers: Everyone
Machine intelligence for adaptable closed loop and open loop production engineering systems
Johannes Günther
- 2018 (modified: 06 Nov 2022)
- undefined 2018
- Readers: Everyone

Co-Authors