Efficient Opponent Exploitation in No-Limit Texas Hold’em Poker: A Neuroevolutionary Method Combined with Reinforcement Learning

Efficient Opponent Exploitation in No-Limit Texas Hold’em Poker: A Neuroevolutionary Method Combined with Reinforcement Learning

In the development of artificial intelligence (AI), games have often served as benchmarks to promote remarkable breakthroughs in models and algorithms. No-limit Texas Hold’em (NLTH) is one of the most popular and challenging poker games. Despite numerous studies having been conducted on this subject...

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Bibliographic Details
Main Authors: Jiahui Xu, Jing Chen, Shaofei Chen
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Electronics
Subjects:
opponent exploitation
no-limit Texas hold’em
neuroevolution
reinforcement learning
Online Access:https://www.mdpi.com/2079-9292/10/17/2087

Internet

https://www.mdpi.com/2079-9292/10/17/2087

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