'Learning' programming assignments for the Harvard CS50's Introduction to Artificial Intelligence with Python 2021 course

FInding the optimal path in the Grid using Q-Learning, a Reinforcement Learning algorithm

science paper updates

Creating agent to make optimized moves to win the game against environment. Using Reinforced Learning running multiple episodes on Q-Learning models

Experiment to train an agent using Q-learning algorithm for playing the Chrome Dino Runner game.

implementation of the Pacman game using Q-learning to explore reinforcement learning techniques.

Application of Q-Learning where robot find ways to achieve goal. This respository is intended to fulfill the task of Reinforcement learning (changing the environment of implementing Q-Learning)

Continuing the drone problem presented in https://github.com/elaysason/Deterministic-Drone-Problem but in this itertion, the drone must navigate an unknown environment under RL settings. There is no client, only a stationary place to drop the packages off.

C++ program implements Sokoban game to solve it with AI reinforcement algorithm (Q-learning ALG).

Game Tic-Tac-Toe with Q_learning algorithm

Machine Learning project using Q-Learning without any ML library

This is a simple implementation of a game player using reinforcement-learning

Hugging Face Course by Thomas Simioni Deep RL projects resolution

C++ implementation of the Q-Learning algorithm applied to a simple grid world problem

A public reupload of AI Q-Learning Project

This is a Q-Learning algorithm implementation, that solves a labyrinth.

Utilizando o algoritmo Q-Learning para ensinar um agente (taxi) a buscar um passageiro e deixá-lo no destino correto, passando pela menor quantidade de estados possíveis.

A project that involves using Deep Learning to forecast stock prices.