qlearning-algorithm

Repository for most of the code from my YouTube channel

Code repository for my course on the fundamentals of reinforcement learning

Implementation of Q-learning algorithm and Feedback control for the mobile robot (turtlebot3_burger) in ROS.

A solution for Dynamic Spectrum Management in Mission-Critical UAV Networks using Team Q learning as a Multi-Agent Reinforcement Learning Approach

Cat-and-Mouse game with Reinforcement Learning (Q-Learning).

An Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations using Multi Independent Agent Reinforcement Learning

Indoor navigation using deep Q reinforcement learning

An implementation of main reinforcement learning algorithms: solo-agent and ensembled versions.

Taxi-v2 game using Q learning algorithm

Reinforcement Learning Course Project - IIT Bombay Fall 2018

Mountain Car problem solving using RL - QLearning with OpenAI Gym Framework

Collection of Machine Learning Algorithms and related Example

The homework for Cutting-Edge of Deep Learning, aka CEDL, from NTHU

Simulation of the classic game Bomberman using Q-Learning algorithm

Implementation of Deep Q-Learning to Learn how to play a simple game written in python.

[2019 project] Using deep reinforcement learning to train AIs to play TRON

Q-Learning and Deep Q-Learning Demo

Use Deep Q-Learning model to optimize energy consumption of a data center

用QLearing增强学习算法玩拼图游戏

Smartcab is a project which utilizes Reinforcement learning techniques to implement a self driving agent in a simplified world. It uses Q-learning algorithm to guide the agent while tackling the environmental constraints.

This repository contains the code which can help us to understand how q-learning algorithm can be applied to build simple video game bot.

Using pygame to create a 2d pong game, then using gym and tensorflow to read the pixels on the screen using a CNN and then model the actions with a Qlearning RNN to beat the ai opponent

This project is about obstacle detection for autonomous self driven AI cars. We used Python 3 to implement this project. It uses Python3, Pygame, Pymunk, Keras and Theanos. It employes a Q-learning (unsupervised) algorithm to learn how to move an AI agent around in the environment (drive itself) without running into obstacles.

An AI that learns to solve mazes with Q-Learning algorithm 🧠

Q-Learning based Reinforcement Learning implementation, make AI self-learn to play Cartpole and 3 Atari games (Boxing, Pong, Pacman)

This is a simple project based on reinforcement learning which is a type of machine learning technique. A bot is assigned a task to reach the destination from the source.

reinforcement learning

Implementation of RL in the cloud for energy minimization due to migration and excess power consumption.

A game using Q-Learning artificial intelligence.

🔫 Intelligent Targeting based on Q Learning