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.

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 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.

Official implementation for the paper "CityLearn: Diverse Real-World Environments for Sample-Efficient Navigation Policy Learning" (ICRA2020)

Training a simple reinforcement learning agent using ML-Agents with Google Colab.

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

A Self Play reinforcement learning Agent learns to play TicTacToe using the ML-Agents Framework in Unity.

Gaussian process optimization using GPyOpt for Unity ML-Agents Toolkit

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

Unity ml-agents RollerBall example and some experiments

Motorcycle Racing made with Unity Machine Learning Agents

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

A Beginners Guide to Deep RL for Autonomous Vehicles

Multiple Reinforcement learning techniques on 3x3 TicTacToe

Tank game to experiment with the Unity ML-Agents Toolkit

🧠🤖Unity Neural Network (Genetic, Unsupervised)

This package aims to make development with ML-Agents quicker and easier.

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

Self-Play Boxing Match made with Unity Machine Learning Agents

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

Game AI lab for Unity