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BeeGass / AI-Project2

In the class CS-4341, Artificial Intelligence, we were tasked to build an agent that could play the game of Gomoku. In order to achieve this the team implemented the MiniMax algorithm, Alpha-beta-pruning as well as our own understanding of evualtion function to facilitate the previous two algorithms. Additionally to aide in the agents compentency the team built, from scratch, a linear neural network.
https://github.com/BeeGassy/AI_Project2
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9/28/2020 #2

Open BeeGass opened 4 years ago

BeeGass commented 4 years ago

Explanation of minimax and alpha beta pruning: https://www.youtube.com/watch?v=l-hh51ncgDI

BeeGass commented 4 years ago

https://www.youtube.com/watch?v=l-hh51ncgDI sorry i meant to send this

cabroderick commented 4 years ago

More in-depth eval function: https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1491&context=creativecomponents

BeeGass commented 4 years ago

basic strategy: http://gomokuworld.com/gomoku/1