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2020 – today
- 2024
[j1]Jan Groeneveld, Judith Herrmann, Nikkel Mollenhauer, Leonard Dreeßen, Nick Bessin, Johann Schulze Tast, Alexander Kastius, Johannes Huegle, Rainer Schlosser
:
Self-learning Agents for Recommerce Markets. Bus. Inf. Syst. Eng. 66(4): 441-463 (2024)- 2023
- [c7]Kenneth Schröder, Alexander Kastius, Rainer Schlosser:
Reinforcement Learning Algorithms: Categorization and Structural Properties. ICORES (Selected Papers) 2023: 96-120 - [c6]Kenneth Schröder, Alexander Kastius, Rainer Schlosser:
Welcome to the Jungle: A Conceptual Comparison of Reinforcement Learning Algorithms. ICORES 2023: 143-150 - 2022
- [c5]Jan Kossmann, Alexander Kastius, Rainer Schlosser:
SWIRL: Selection of Workload-aware Indexes using Reinforcement Learning. EDBT 2022: 2:155-2:168 - [c4]Rainer Schlosser, Alexander Kastius:
A Conceptual Framework for Studying Self-learning Agents in Recommerce Markets. OR 2022: 549-555 - [c3]Alexander Kastius, Nils Kiele, Rainer Schlosser:
Multi-agent Dynamic Pricing Using Reinforcement Learning and Asymmetric Information. OR 2022: 557-563 - 2021
- [c2]Alexander Kastius, Rainer Schlosser:
Towards Transfer Learning for Revenue and Pricing Management. OR 2021: 361-366 - [c1]Rainer Schlosser, Alexander Kastius:
Stochastic Dynamic Pricing Under Duopoly Competition with Mutual Strategy Adjustments. OR 2021: 367-372
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last updated on 2024-12-10 21:42 CET by the dblp team
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