Realization and discussion of selected artificial intelligence algorithms in computer games
The study explores the usage of reinforcement learning algorithms in computer card games, such as Proximal Policy Optimization and Monte Carlo Tree Search. The aim is to evaluate the efficiency and learning ability across different scenarios, such as Blackjack and Poker Limit Hold'em. Comparat...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Lublin University of Technology
2025-03-01
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| Series: | Journal of Computer Sciences Institute |
| Subjects: | |
| Online Access: | https://ph.pollub.pl/index.php/jcsi/article/view/6723 |
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