Tabular methods for reinforcement learning

path planning using Q learning algorithm

The following project concerns the development of an intelligent agent for the famous game produced by Nintendo Super Mario Bros. More in detail: the goal of this project was to design, implement and train an agent with the Q-learning reinforcement learning algorithm.

Demonstration of Q-Learning and SARSA algorithms utilizing Python and OpenAI GYM

This github contains a simple OpenAi Gym Maze Enviroment and (at now) a RL Algorithm to solve it.

Applying PBT optimization technique to different domains

Implementation of SARSA algorithm for path planning

Reinforcement learning system using the SARSA-RL Algorithm to learn to play a simple physics game, referred to as the The Acrobat Game

Implementing Reinforcement Learning (RL) Algorithms for global path planning in tasks of mobile robot navigation.

Pac-Man RL Agent

Ludo-RL è un progetto che ha visto lo sviluppo e l'implementazione di un sistema di apprendimento per rinforzo finalizzato al gioco da tavolo Ludo.

Implementation of an agent capable of playing a simplified version of the blackjack game using SARSA algorithm.

人工智能课程的实验

PacmanRL - Reinforcement Learning for Pacman (Q-Learning / SARSA)

Various Reinforcement Learning Algorithms on Racetrack Simulations