Johannes Günther
Orcid: 0000-0003-4926-312XAffiliations:
- University of Alberta, Edmonton, Canada
- Technical University Munich, Germany (PhD 2018)
According to our database1,
Johannes Günther
authored at least 16 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Frontiers Robotics AI, 2024
Explainability of deep reinforcement learning algorithms in robotic domains by using Layer-wise Relevance Propagation.
Eng. Appl. Artif. Intell., 2024
2023
Multi-Robot Warehouse Optimization: Leveraging Machine Learning for Improved Performance.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
2022
Prediction, Knowledge, and Explainability: Examining the Use of General Value Functions in Machine Knowledge.
Frontiers Artif. Intell., 2022
CoRR, 2022
Prototyping three key properties of specific curiosity in computational reinforcement learning.
CoRR, 2022
Composite Recurrent Convolutional Neural Networks Offer a Position-Aware Prosthesis Control Alternative While Balancing Predictive Accuracy with Training Burden.
Proceedings of the International Conference on Rehabilitation Robotics, 2022
What Should I Know? Using Meta-Gradient Descent for Predictive Feature Discovery in a Single Stream of Experience.
Proceedings of the Conference on Lifelong Learning Agents, 2022
2021
CoRR, 2021
2020
Examining the Use of Temporal-Difference Incremental Delta-Bar-Delta for Real-World Predictive Knowledge Architectures.
Frontiers Robotics AI, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
General Dynamic Neural Networks for explainable PID parameter tuning in control engineering: An extensive comparison.
CoRR, 2019
Proceedings of the Big Data Analytics and Knowledge Discovery, 2019
Meta-learning for Predictive Knowledge Architectures: A Case Study Using TIDBD on a Sensor-rich Robotic Arm.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019
2018
Machine intelligence for adaptable closed loop and open loop production engineering systems.
PhD thesis, 2018