Repository for most of the code from my YouTube channel

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

Code repository for my course on the fundamentals of reinforcement learning

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

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

强化学习算法库，包含了目前主流的强化学习算法(Value based and Policy based)的代码，代码都经过调试并可以运行

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

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

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

Indoor navigation using deep Q reinforcement learning

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

Collection of Machine Learning Algorithms

path planning using Q learning algorithm

Using Q-Learning Control for path planning of mobile agents in an enviroment.

Taxi-v2 game using Q learning algorithm

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

Deep Reinforcement Learning navigation of autonomous vehicles. Implementation of deep-Q learning, dyna-Q learning, Q-learning agents including SSMR(Skid-steering_mobile robot) Kinematics in various OpenAi gym environments

Reinforcement Learning Course Project - IIT Bombay Fall 2018

It contains a python-based survival analysis model to study the lifetime of machines in a 3-unit flowline production system, The simulation environment to be used with the RL algorithm for maintenance planning, Q-learning algorithm based maintenance policy, corrective and preventive maintenance policy simulations for comparison.

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