Repository for the Computational Intelligence course @ Politecnico di Torino - 2023/2024
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Lab 01 (in the
Lab 1
directory): Implement$A^*$ for the Set Covering Problem. The solution can be found in the Lab 01 section of the Notebook. -
Lab 02 (in the
Lab 2
directory): Implement a Rule-based agent and an Evolved agent using an ES strategy to play the Nim game. The solution can be found in the Notebook inside the directory. -
Lab 03 (in the
Lab 3
directory): Solve the Black-box Problem instances 1, 2, 5, and 10 on a 1000-loci genomes, using a minimum number of fitness calls. The solution can be found in the Notebook inside the directory. -
Lab 04 (in the
Lab 4
directory): Use reinforcement learning to devise a Tic-Tac-Toe player. The solution can be found in the Notebook inside the directory. -
Final Project (in the
quixo
directory): Use reinforcement learning and MinMax to devise a Quixo player. The solution can be found in the Notebook inside the directory.