Master's thesis
Performance Evaluation of Counterfactual Regret Minimization and Monte Carlo Tree Search Variants: A Case Study on Belote
By Alexandre Serrao. Master's thesis, UCLouvain, 2025. Co-supervised with Achille Morenville.
Author: Alexandre Serrao
Type: Master's thesis
Institution: UCLouvain
Year: 2025
Co-supervision: Achille Morenville
PDF: Download thesis
Summary
This master's thesis compares variants of Counterfactual Regret Minimization and Monte Carlo Tree Search through experiments on Belote, contributing to the evaluation of AI methods in imperfect-information card games.