There are 10 repositories under ml-agents topic.
Repo for the Deep Reinforcement Learning Nanodegree program
Obstacle Tower Environment
Reinforcement Learning Algorithms Based on PyTorch
Various examples of ml-agents while teaching concepts about it in YouTube
A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment
UAV Logistics Environment for Multi-Agent Reinforcement Learning / Unity ML-Agents / Unity 3D
Showcase environment for ML-Agents
Animal-AI supports interdisciplinary research to help better understand human, animal, and artificial cognition.
Train reinforcement learning agent using ML-Agents with Google Colab.
Repository for slides & codes of RL Korea Bootcamp
Research into Assault Course for training Active Ragdolls (using MujocoUnity+ml_agents)
A Self Play reinforcement learning Agent learns to play TicTacToe using the ML-Agents Framework in Unity.
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 simple example of how to implement vector based DDPG for MARL tasks using PyTorch and a ML-Agents environment.
Research into controllers for 2d and 3d Active Ragdolls (using MujocoUnity+ml_agents)
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.
Motorcycle Racing made with Unity Machine Learning Agents
Self-Play Boxing Match made with Unity Machine Learning Agents
Implementation notebooks and scripts of Deep Reinforcement learning Algorithms in PyTorch and TensorFlow.
A Beginners Guide to Deep RL for Autonomous Vehicles
Unity project with an AI that creates procedural animations of combat defense
DOTS compatible version of ML-Agents
🤖 Creation of an RL environment with Unity, where an agent must learn to survive by moving 🦿 and shooting🔫, using ML-Agents !
A simple example of how to implement vector based DDPG using PyTorch and a ML-Agents environment.
Obstacle avoiding self driving car made with Unity ML Agents.
Applying ML-Agents to the Unity's Boat Attack env. ⛵️
A small Unity AI game built with ML-agents v0.5
This repository contains the implementation of deep reinforcement learning algorithms to solve various unity The Environments.
📽 Python package to live stream ML-Agents training process from Google Colab to Twitch/YouTube server.
Multi-Agent Car Parking using Reinforcement Learning.
Tank game to experiment with the Unity ML-Agents Toolkit
Simulation of car parking in different parking lots using Unity ML-Agents