Christoph Graf1,2, Viktor Zobernig3, Johannes Schmidt3

  • 1Institute for Policy Integrity, New York University, New York, NY 10012 USA.

Computational economics
|February 2, 2024
PubMed
概括

深度强化学习算法可以在价格竞争拍卖中找到纳什平衡. 特定参数调整实现了高达99%的伯特兰平衡趋同,在复杂的市场模拟中被证明是有效的.

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