This repository contains (will contain) implementation of a reinforcement learning model for the game Mathematico.
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License: MIT License
This repository contains (will contain) implementation of a reinforcement learning model for the game Mathematico.
Prepare final report (PDF file) with:
WIP: 2 cards missing, we can find the best solution using expectation maximisation
If there is time, create a dataset with a random seed and human score for comparison.
Find and prepare scripts for training using either some servers or clouds.
Extend mathematico
to comply with the interface described here
Create a system/function for playing random games and storing the MCTS states with values for training.
Edit mcts
library to enable storing the (visited) states and their values (also types) for training
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