The project titled "Robotic Path Tracking with Q-Learning and SARSA" focuses on the application of reinforcement learning to the task of robotic path tracking.

A Complete Collection of Deep RL Famous Algorithms implemented in Gymnasium most Popular environments

R.L. methods and techniques.

CartPole problem solved using two Reinforcement learning algorithms (DQN and SARSA) with two policies (epsilon-greedy and Boltzmann), with results.

Implementations of various RL and Deep RL algorithms in TensorFlow, PyTorch and Keras.

A set of exercises with relative solutions from Sutton and Barto book and OPENAI GYM

This model applies SARSA reinforcement learning for efficient urban traffic and pedestrian management, incorporating simulation, algorithmic implementation, and evaluation to enhance safety and reduce congestion.

Q-value iteration algorithm & ON-policy vs OFF-policy learning, introducing SARSA and Q-learning algorithms in the Stochastic Windy Grid environment

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

🌍💨 Explore the Windy Gridworld! An agent navigates a 10x7 grid facing wind challenges using Q-learning, SARSA, and Expected SARSA to find optimal paths. Visualize learning stability and compare algorithm performance with running averages and zoomed insights. 🚀📊

repo for learning reinforcement learning from scratch

implementations of basic RL algorithms

CartPole v1 of gymnasium library solved using two Reinforcement learning algorithms(DQN and SARSA) with two policies (epsilon-greedy and Boltzmann), with results.

Simple maze solver by reinforcement learning

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

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

A reinforcement learning project to predict optimal target spawn locations based on player accuracy.

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.

This project aims to explore the basic concepts of Reinforcement Learning using the FrozenLake environment from the OpenAI Gym library.

First task for my Reinforcement Learning class in Deusto. The research paper the main RL algorithms applied on the Frozen Lake env provided by GymOpenAI. Paper is avaible at: