交易的科学:利用深度强化学习在eBay上进行最优议价

Etan A. Green, E. B. Plunkett
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引用次数: 1

摘要

讨价还价无处不在。人们怎样才能更好地讨价还价呢?我们训练一个强化学习代理在eBay上的“Best Offer”列表中进行最优讨价还价,并以人类可以使用的方式描述其行为。作为买家,代理比人类买家起价更低,讨价还价的时间更长。作为卖家,代理人将报价解读为信号——买家愿意支付的信号,以及物品的可取性——而人类卖家会忽略这些信号。从这些代理中衍生出的简单策略是以比人类买家更低的价格购买更多的商品,并以比人类卖家更高的价格出售更多的商品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Science of the Deal: Optimal Bargaining on eBay Using Deep Reinforcement Learning
Bargaining is ubiquitous. How can people bargain better? We train a reinforcement learning agent to bargain optimally in "Best Offer" listings on eBay, and we characterize its behavior in a manner that humans can use. As a buyer, the agent starts lower than human buyers and bargains longer. As the seller, the agent interprets offers as signals---of the buyer's willingness to pay and of the item's desirability---that human sellers ignore. Simple strategies derived from these agents purchase more items for lower prices than human buyers and sell more items for higher prices than human sellers.
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