Johannes Günther

ORCID

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Venues

CoRR

Frontiers Robotics AI

DaWaK

AAMAS

Technical University Munich, Germany (PHD)

Education History

Technical University Munich, Germany

PHD

Publications

Mehran Taghian, Shotaro Miwa, Yoshihiro Mitsuka, Johannes Günther, Shadan Golestan, Osmar R. Zaïane
Explainability of deep reinforcement learning algorithms in robotic domains by using Layer-wise Relevance Propagation. Eng. Appl. Artif. Intell. 137 (2024)
Andy Wong, Mehran Taghian Jazi, Tomoharu Takeuchi, Johannes Günther, Osmar Zaïane
General value functions for fault detection in multivariate time series data. Frontiers Robotics AI 11 (2024)
Daniel Graves, Johannes Günther, Jun Luo
Affordance as general value function: a computational model. Adapt. Behav. 30 (4) (2022)
Alexandra Kearney, Anna Koop, Johannes Günther, Patrick M. Pilarski
What Should I Know? Using Meta-gradient Descent for Predictive Feature Discovery in a Single Stream of Experience. CoRR (2022)
Heather E. Williams, Johannes Günther, Jacqueline S. Hebert, Patrick M. Pilarski, Ahmed W. Shehata
Composite Recurrent Convolutional Neural Networks Offer a Position-Aware Prosthesis Control Alternative While Balancing Predictive Accuracy with Training Burden. ICORR (2022)
Alex Kearney, Anna Koop, Johannes Günther, Patrick M. Pilarski
What Should I Know? Using Meta-Gradient Descent for Predictive Feature Discovery in a Single Stream of Experience. CoLLAs (2022)
Nadia M. Ady, Roshan Shariff, Johannes Günther, Patrick M. Pilarski
Prototyping three key properties of specific curiosity in computational reinforcement learning. CoRR (2022)
Nadia M. Ady, Roshan Shariff, Johannes Günther, Patrick M. Pilarski
Five Properties of Specific Curiosity You Didn't Know Curious Machines Should Have. CoRR (2022)
Alex Kearney, Johannes Günther, Patrick M. Pilarski
Prediction, Knowledge, and Explainability: Examining the Use of General Value Functions in Machine Knowledge. Frontiers Artif. Intell. 5 (2022)
Alex Kearney, Anna Koop, Johannes Günther, Patrick M. Pilarski
Finding Useful Predictions by Meta-gradient Descent to Improve Decision-making. CoRR (2021)
Craig Sherstan, Shibhansh Dohare, James MacGlashan, Johannes Günther, Patrick M. Pilarski
Gamma-Nets: Generalizing Value Estimation over Timescale. AAAI (2020)
Daniel Graves, Johannes Günther, Jun Luo
Affordance as general value function: A computational model. CoRR (2020)
Johannes Günther, Nadia M. Ady, Alex Kearney, Michael Rory Dawson, Patrick M. Pilarski
Examining the Use of Temporal-Difference Incremental Delta-Bar-Delta for Real-World Predictive Knowledge Architectures. Frontiers Robotics AI 7 (2020)
Johannes Günther, Elias Reichensdörfer, Patrick M. Pilarski, Klaus Diepold
General Dynamic Neural Networks for explainable PID parameter tuning in control engineering: An extensive comparison. CoRR (2019)
Craig Sherstan, Shibhansh Dohare, James MacGlashan, Johannes Günther, Patrick M. Pilarski
Gamma-Nets: Generalizing Value Estimation over Timescale. CoRR (2019)
Johannes Günther, Nadia M. Ady, Alex Kearney, Michael Rory Dawson, Patrick M. Pilarski
Examining the Use of Temporal-Difference Incremental Delta-Bar-Delta for Real-World Predictive Knowledge Architectures. CoRR (2019)
Mohammad Riazi, Osmar R. Zaïane, Tomoharu Takeuchi, Anthony Maltais, Johannes Günther, Micheal Lipsett
Detecting the Onset of Machine Failure Using Anomaly Detection Methods. DaWaK (2019)
Johannes Günther, Alex Kearney, Nadia M. Ady, Michael Rory Dawson, Patrick M. Pilarski
Meta-learning for Predictive Knowledge Architectures: A Case Study Using TIDBD on a Sensor-rich Robotic Arm. AAMAS (2019)

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Publication Activity (10 Years)

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Johannes Günther