Playtesting in Match 3 Game Using Strategic Plays via Reinforcement Learning

Playtesting in Match 3 Game Using Strategic Plays via Reinforcement Learning

Playtesting is a lifecycle phase in game development wherein the completeness and smooth progress of planned content are verified before release of a new game. Although studies on playtesting in Match 3 games have attempted to utilize Monte Carlo tree search (MCTS) and convolutional neural networks...

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Bibliographic Details
Main Authors: Yuchul Shin, Jaewon Kim, Kyohoon Jin, Young Bin Kim
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Actor-critic
agent
artificial intelligence
game mission
game strategy
match 3
Online Access:https://ieeexplore.ieee.org/document/9034187/

Internet

https://ieeexplore.ieee.org/document/9034187/

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