Repo for the Deep Reinforcement Learning Nanodegree program

Obstacle Tower Environment

Reinforcement Learning Algorithms Based on TensorFlow 2.x

A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment

Repository for slides & codes of RL Korea Bootcamp

Research into Assault Course for training Active Ragdolls (using MujocoUnity+ml_agents)

Research into controllers for 2d and 3d Active Ragdolls (using MujocoUnity+ml_agents)

The Mayan Adventure is an open-source reinforcement learning environment for Unity ML-Agents. In this environment, you train your agent (Indie) to find the golden statue in this dangerous environment full of traps.

A small Unity AI game built with ML-agents v0.5

A simple example of how to implement vector based DDPG for MARL tasks using PyTorch and a ML-Agents environment.

This repository documents my journey to become a Machine Learning Engineer. It contains the list of projects undertaken, books read, courses pursued and almost everything I did in the process. So follow along or diverge to you own path, each way, I believe this will add value to any data professional / enthusiast.

A simple example of how to implement vector based DDPG using PyTorch and a ML-Agents environment.

Official implementation of "CityLearn: Diverse Real-World Environments for Sample-Efficient Navigation Policy Learning"

This repository contains the implementation of deep reinforcement learning algorithms to solve various unity The Environments.

Gaussian process optimization using GPyOpt for Unity ML-Agents Toolkit

Implementation notebooks and scripts of Deep Reinforcement learning Algorithms in PyTorch and TensorFlow.

A Beginners Guide to Deep RL for Autonomous Vehicles

🧠🤖Unity Neural Network (Genetic, Unsupervised)

Unity ml-agents RollerBall example and some experiments

Solve reacher (unity ml-agents) using deep deterministic policy gradients (DDPG)

Multiple Reinforcement learning techniques on 3x3 TicTacToe

Neural network learning how to launch rocket into space. Based on Unity and ML-Agents.

Self-Play Boxing Match made with Unity Machine Learning Agents

Motorcycle Racing made with Unity Machine Learning Agents

Game AI lab for Unity

Reinforcement Learning Environments with ML-Agents.

An ML implementation of the popular game "World Hardest Game" in Unity3D with ML-Agents.

Continuous control for Unity ML-Agents Reacher & Crawler environment.

Examples of Basic Games (Catch Ball, Wall Pong, and Pong) using the Unity Ml-Agents Toolbox