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2020 – today
- 2024
[c9]Jakob Nazarenus
, Simon Reichhuber, Manuel Amersdorfer, Lukas Elsner, Reinhard Koch, Sven Tomforde, Hossam Abbas:
Learning Occlusions in Robotic Systems: How to Prevent Robots from Hiding Themselves. ICAART (2) 2024: 482-492- 2023
- [c8]Simon Reichhuber, Sven Tomforde:
Exotic Bets: Evolutionary Computing Coupled with Bet Mechanisms for Model Selection. ICAART (2) 2023: 259-267 - [c7]Tobias Weiss, Simon Reichhuber, Sven Tomforde:
From Simulated to Real Environments: Q-Learning for MAZE-Navigation of a TurtleBot. ICAISC (2) 2023: 192-203 - 2022
- [c6]Simon Reichhuber, Sven Tomforde:
Evolving Gaussian Mixture Models for Classification. ICAART (3) 2022: 964-974 - [i1]Simon Reichhuber, Sven Tomforde:
Active Reinforcement Learning - A Roadmap Towards Curious Classifier Systems for Self-Adaptation. CoRR abs/2201.03947 (2022) - 2021
- [c5]Colin Clausen, Simon Reichhuber, Ingo Thomsen, Sven Tomforde:
Improvements to Increase the Efficiency of the AlphaZero Algorithm: A Case Study in the Game 'Connect 4'. ICAART (2) 2021: 803-811 - [c4]Simon Reichhuber, Sven Tomforde:
Bet-based Evolutionary Algorithms: Self-improving Dynamics in Offspring Generation. ICAART (2) 2021: 1192-1199 - 2020
- [c3]Simon Reichhuber, Sven Tomforde:
Opportunistic Meta-Learning: A Case Study for Quality Assurance in Industry 4.0 Environments. ACSOS Companion 2020: 76-81 - [c2]Simon Reichhuber, Sven Tomforde:
Opportunistic Knowledge Adaption in Self-Learning Systems. ACSOS Companion 2020: 246-248
2010 – 2019
- 2019
- [c1]Simon Reichhuber:
Knowledge Self-Adaptive Multi-Agent Learning. GI-Jahrestagung (Workshops) 2019: 507-515
Coauthor Index
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