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Conference and Workshop Papers
- 2024
[c5]Michael Schlechtinger, Damaris Kosack, Franz Krause, Heiko Paulheim:
By Fair Means or Foul: Quantifying Collusion in a Market Simulation with Deep Reinforcement Learning. IJCAI 2024: 485-493- 2023
- [c4]Michael Schlechtinger, Damaris Kosack, Heiko Paulheim, Thomas Fetzer, Franz Krause:
The Price of Algorithmic Pricing: Investigating Collusion in a Market Simulation with AI Agents. AAMAS 2023: 2748-2750 - 2021
- [c3]Michael Schlechtinger
, Damaris Kosack, Heiko Paulheim, Thomas Fetzer:
Winning at Any Cost - Infringing the Cartel Prohibition with Reinforcement Learning. PAAMS 2021: 255-266 - 2020
- [c2]Michael Schlechtinger, Michael Klesel, Björn Niehaves:
Show Your Face! Investigating the Relationship Between Human Faces and Music's Success. AMCIS 2020 - [c1]Hans Christian Klein, Sebastian Weber, Michael Schlechtinger, Frederike Marie Oschinsky:
Does one Creative Tool Fit All? Initial Evidence on Creativity Support Systems and Wikipedia-based Stimuli. ICIS 2020
Informal and Other Publications
- 2024
- [i2]Michael Schlechtinger, Damaris Kosack, Franz Krause, Heiko Paulheim:
By Fair Means or Foul: Quantifying Collusion in a Market Simulation with Deep Reinforcement Learning. CoRR abs/2406.02650 (2024) - 2021
- [i1]Michael Schlechtinger, Damaris Kosack, Heiko Paulheim, Thomas Fetzer:
Winning at Any Cost - Infringing the Cartel Prohibition With Reinforcement Learning. CoRR abs/2107.01856 (2021)
Coauthor Index
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