Lucas Colas's Projects
My code for the ML01 course. A Machine Learning course at UTC.
Flexible Texas Holdem Poker algorithm for calculating winning probabilities using fast Monte Carlo Simulation.
Use Q-Learning to solve Mountain Car.
Texas holdem OpenAi gym poker environment with reinforcement learning based on keras-rl. Includes virtual rendering and montecarlo for equity calculation.
Several agents that can play poker (using probability, monte carlo, etc.) and clustering to get the types of poker players.
Poker-Hand-Evaluator: An efficient poker hand evaluation algorithm and its implementation, supporting 7-card poker and Omaha poker evaluation
All Algorithms implemented in Python
console version and Qt version in C++ of Schotten Totten (card game).
A sudoku that runs in terminal. You can solve it either by yourself or you can use the AI
super mario in python and pygame
My code for the TP of SY02 ("Travaux Pratique" i.e sessions where we apply our statistics knowledge) in R.
A pure python package for Texas Hold 'Em poker
Predict if you could have survived to the sinking of the Titanic