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

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

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

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

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

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

Indoor navigation using deep Q reinforcement learning

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

path planning using Q learning algorithm

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

Collection of Machine Learning Algorithms

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.

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

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

Taxi-v2 game using Q learning algorithm

Reinforcement Learning Course Project - IIT Bombay Fall 2018

Solving MountainCar-v0 environment in Keras with Deep Q Learning an Deep Reinforcement Learning algorithm