Artificial Intelligence for Multi-Unit Auction design
<|reference_start|>Artificial Intelligence for Multi-Unit Auction design: Understanding bidding behavior in multi-unit auctions remains an ongoing challenge for researchers. Despite their widespread use, theoretical insights into the bidding behavior, revenue ranking, and efficiency of commonly used multi-unit auctions are limited. This paper utilizes artificial intelligence, specifically reinforcement learning, as a model free learning approach to simulate bidding in three prominent multi-unit auctions employed in practice. We introduce six algorithms that are suitable for learning and bidding in multi-unit auctions and compare them using an illustrative example. This paper underscores the significance of using artificial intelligence in auction design, particularly in enhancing the design of multi-unit auctions.<|reference_end|>
@article{khezr2024artificial,
    title={Artificial Intelligence for Multi-Unit Auction design},
    author={Peyman Khezr and Kendall Taylor},
    journal={arXiv preprint arXiv:2404.15633},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.15633},
    primaryClass={cs.GT cs.AI econ.TH}
}