A VIEW ON DEEP REINFORCEMENT LEARNING IN IMPERFECT INFORMATION GAMES
Many real-world applications can be described as large-scale games of imperfect information. This kind of games is particularly harder than the deterministic one as the search space is even more sizeable. In this paper, I want to explore the power of reinforcement learning in such an environment; t...
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| Format: | Article |
| Language: | English |
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Babes-Bolyai University, Cluj-Napoca
2020-10-01
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| Series: | Studia Universitatis Babes-Bolyai: Series Informatica |
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| Online Access: | http://193.231.18.162/index.php/subbinformatica/article/view/3888 |