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AI agent that plays Tablut using Iterative Deepening Alpha-Beta pruning.

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QuaranteamTablut

This is an AI that plays Tablut (with Ashton rules) made by Nicholas Carroll and Laura Mazzuca to participate in the annual challenge for our University course "Foundations of Artificial Intelligence".

It runs using Iterative Deepening Alpha-Beta search by default.

Our commits follow the Gitmoji guide.

Executing the Player

To execute the player, run the "TheQuaranteam.sh" or "runmyplayer.sh" script with usage:
<white | black> <turn duration in seconds> <server ip>

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AI agent that plays Tablut using Iterative Deepening Alpha-Beta pruning.

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