reinforcement learning algorithms from the book by Sutton and Barto

sokoban game solver through Multiple Search Algorithms and Reinforcement Learning (Q-Learning)

Implementation of Q-Learning Algorithm

Sokoban AI Solver (HKUST COMP3211 Project)

A tic tac toe game in java, which can be trained by machine learning (console & gui).

Q-learning is a model-free reinforcement learning algorithm to learn the value of an action in a particular state. It does not require a model of the environment (hence "model-free"), and it can handle problems with stochastic transitions and rewards without requiring adaptations.

QLearning algorithm of Reinforcement Learning implemented in the GVGAI platform to solve the 111st game, called Arkanoid.

Qlearning Blackjack/Stock market analyst AI

FrozenLake - OpenAI's exercise resolved with Q-learning algorithm

Implementation de l'algorithme QLearning en JAVA

This contains the most commonly used machine learning and deep learning models written from scratch without the use if any libraries except Numpy which is used for calculations

A series of experiments on the performance of Q-Learning Agents in the Dots and Boxes game.

Repository containing machine learning algorithms and datasets

Reinforcement learning agent learning to navigate an environment containing rewards and punishments.

QLearning implementation reinforced by norms in a multi-agent simulation

A Q Learning Model implemented in java used for MIT Battlecode 2023

Proyecto básico aplicando el algoritmo Qlearning para crear un agente que resuelva el juego 15 de la plataforma GVGAI. Implementado en JAVA.

用QLearning增强学习算法玩拼图游戏

Golf game using Q-learning, A* pathfinding and bruteforce with a Runge-Kutta physics solver in Java