Deep Reinforcement Learning for mobile robot navigation, a robot learns to navigate to a random goal point from random moves to adopting a strategy, in a simulated maze environment while avoiding dynamic obstacles.

Sample projects to learn reinforcement learning and deep reinforcement learning in practice.

Tic-Tac-Toe Q-Learning is a beginner-friendly example of using reinforcement learning.

In this Assignment, you will teach RL Agents to pickup packages on a grid-world. The environment you will be using is called the Four-Rooms domain

This is an introductory tutorial to tabular Q-learning in Norwegian.

An implementation of iterative prisoner dilemma with reinforcement learning via q_table (NOT DQN) in Python with around 30 strategies

Implementation of core reinforcement learning algorithms with PyTorch

42 project that involves implementing Reinforcement Learning

A simple Q-Table implementation for Rust

Finding the optimum path between obstacles in a 50x50 (optional) matrix with the Q-Learning algorithm.

Solving Flappy Bird with RL.

MuJoCo-based reinforcement learning with Q-learning-driven curriculum for robust humanoid locomotion under perturbations.

Q learning algorithm example in python

Implementations of Reinforcement Learning algorithms

We use python software and NumPy library to implement the Q-learning method , train an Agent to solve a Reinforcement Learning Problem

This is a machine learning project developed at woodhack 2018 - demonstrating that machine learning can be done from scratch, even without a framework.

My first try in machine learning with c#, using reinforcement learning with q-table