sarsa-algorithm

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.

Reinforcement learning algorithm implements.

Applying PBT optimization technique to different domains

Using the SARSA to beat the environment, Windy Gridworld. Implement in C++.

Solutions for OpenAI Gym RL environments

Implementation of certain crucial algorithms in the field of reinforcement learning.

The implementation of some reinforcement learning techniques like (Q-learning, SARSA, DQN) in two assignments and one big project.

Implementation of SARSA algorithm for path planning

Implementation of Reinforcement Learning in a chess endgame scenario. (White kind and rook VS Black King)

Optimal Placement of VNFs using Genetic & Tabu Search Algorithms and Service Function Chaining using Q-Learning & SARSA Algorithms in an Multi-Access Edge Computing Environment

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

Reinforcement Learning Project for Artificial Intelligence for Robotics course at the University of Genoa.

Pac-Man RL Agent

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

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.

Temporal Difference methods - A simple implementation of SARSA algorithm applied to OpenAI gym's "CliffWalking" environment.