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Johannes Günther 0002
Person information
- affiliation: University of Alberta, Edmonton, Canada
- affiliation (PhD 2018): Technical University Munich, Germany
Other persons with the same name
- Johannes Günther 0001
— Intel Corporation, Feldkirchen, Germany (and 1 more)
- Johannes Günther 0003 — TU Berlin, Berlin, Germany
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2020 – today
- 2024
- [j5]Mehran Taghian
Explainability of deep reinforcement learning algorithms in robotic domains by using Layer-wise Relevance Propagation. Eng. Appl. Artif. Intell. 137: 109131 (2024) - [j4]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) - 2023
- [c6]Mara Cairo, Bevin Eldaphonse, Payam Mousavi, Sahir, Sheikh Jubair, Matthew E. Taylor, Graham Doerksen, Nikolai Kummer, Jordan Maretzki, Gupreet Mohhar, Sean Murphy, Johannes Günther, Laura Petrich, Talat Syed:
Multi-Robot Warehouse Optimization: Leveraging Machine Learning for Improved Performance. AAMAS 2023: 3047-3049 - 2022
- [j3]Daniel Graves
Affordance as general value function: a computational model. Adapt. Behav. 30(4): 307-327 (2022) - [j2]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: 826724 (2022) - [c5]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: 604-616 - [c4]Heather E. Williams, Johannes Günther, Jacqueline S. Hebert
Composite Recurrent Convolutional Neural Networks Offer a Position-Aware Prosthesis Control Alternative While Balancing Predictive Accuracy with Training Burden. ICORR 2022: 1-6 - [i8]Nadia M. Ady, Roshan Shariff, Johannes Günther, Patrick M. Pilarski
Prototyping three key properties of specific curiosity in computational reinforcement learning. CoRR abs/2205.10407 (2022) - [i7]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 abs/2206.06485 (2022) - [i6]Nadia M. Ady, Roshan Shariff, Johannes Günther, Patrick M. Pilarski
Five Properties of Specific Curiosity You Didn't Know Curious Machines Should Have. CoRR abs/2212.00187 (2022) - 2021
- [i5]Alex Kearney, Anna Koop, Johannes Günther, Patrick M. Pilarski:
Finding Useful Predictions by Meta-gradient Descent to Improve Decision-making. CoRR abs/2111.11212 (2021) - 2020
- [j1]Johannes Günther, Nadia M. Ady, Alex Kearney, Michael Rory Dawson
Examining the Use of Temporal-Difference Incremental Delta-Bar-Delta for Real-World Predictive Knowledge Architectures. Frontiers Robotics AI 7: 34 (2020) - [c3]Craig Sherstan, Shibhansh Dohare, James MacGlashan, Johannes Günther, Patrick M. Pilarski:
Gamma-Nets: Generalizing Value Estimation over Timescale. AAAI 2020: 5717-5725 - [i4]Daniel Graves, Johannes Günther, Jun Luo:
Affordance as general value function: A computational model. CoRR abs/2010.14289 (2020)
2010 – 2019
- 2019
- [c2]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: 1967-1969 - [c1]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: 3-12 - [i3]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 abs/1905.13268 (2019) - [i2]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 abs/1908.05751 (2019) - [i1]Craig Sherstan, Shibhansh Dohare, James MacGlashan, Johannes Günther, Patrick M. Pilarski:
Gamma-Nets: Generalizing Value Estimation over Timescale. CoRR abs/1911.07794 (2019) - 2018
- [b1]Johannes Günther:
Machine intelligence for adaptable closed loop and open loop production engineering systems. Technical University Munich, Germany, 2018
Coauthor Index
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