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Filtering by: Committee Member Walkingshaw, Eric Date issued sim 2020-06-12 Degree Level Bachelor's

Monte Carlo Counterfactual Regret Minimization applied to Clue

Creator:

Martin, Benjamin

Abstract:

This document analyzes the application of Monte Carlo Counterfactual Regret Minimization (MCCFR) in the game of Hasboro’s Clue. As a partially observable stochastic multiplayer game, Clue is well-suited for MCCFR methods. MCCFR has previously been shown to be effective in beating top human players around the world in No-Limit Texas...

Resource Type:

Honors College Thesis