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Training deep neural networks utilizing minimax and alpha beta pruning to achieve mastery of logistical games

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AI-Connect4

Training deep neural networks utilizing minimax and alpha beta pruning to achieve mastery of logistical games

Find our research paper here:

https://docs.google.com/document/d/1KIUyKrI6nTXXtph131n4cM96WPDGvFAnnapd_yEdFR4/edit?usp=sharing

Sources:

Heuristic Search Planning with Deep Neural Networks using Imitation, Attention and Curriculum Learning https://arxiv.org/pdf/2112.01918.pdf

Deep Learning in Neural Networks: An Overview https://arxiv.org/pdf/1404.7828.pdf

Optimization Areas of the Minimax Algorithm https://www.diva-portal.org/smash/get/diva2:1778372/FULLTEXT01.pdf

Automated Architecture Design for Deep Neural Networks https://arxiv.org/pdf/1908.10714.pdf

Evaluation of the Use of Minimax Search in Connect-4 —How Does the Minimax Search Algorithm Perform in Connect-4 with Increasing Grid Sizes? https://www.scirp.org/journal/paperinformation.aspx?paperid=125554

Artificial Intelligence at Play — Connect Four (Mini-max algorithm explained https://medium.com/analytics-vidhya/artificial-intelligence-at-play-connect-four-minimax-algorithm-explained-3b5fc32e4a4f

Connect-4 using Alpha-Beta pruning with minimax algorithm https://dif7uuh3zqcps.cloudfront.net/wp-content/uploads/sites/11/2022/01/15124632/Volume6_Issue1_Paper10_2022.pdf

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