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.

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

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

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

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

Solving Flappy Bird with RL.

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

Q learning algorithm example in python

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

Implementations of Reinforcement Learning algorithms

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

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

A collection of RL algorithms in PyTorch