Inspiration
Monte Carlo Search Tree is ok for searching through game moves so we decided to apply it here
What it does
Based off an initial state, it creates nodes and evaluates the state of those nodes through random gameplay and an algorithm that decides what nodes to follow.
Challenges we ran into
Learning how to make the game tree was somewhat difficult, but the hardest part was certainly trying to make the robot more intelligent by changing parameters and rewriting parts of the algorithm.
Accomplishments that we're proud of
Learning how to do this project and getting a better understanding of this particular model
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