04. Projects You Will Build
Projects You Will Build
The most important part of this program is the hands-on approach to learn. We've worked closely with the engineers at Unity to ensure that the projects are exciting and allow you to demonstrate mastery of cutting-edge skills. All of the projects use the Unity Machine Learning Agents (ML-Agents) toolkit, which you can learn more about by watching the video below.
Unity Machine Learning Agents
## Unity ML-Agents
Unity ML-Agents is a toolkit for training intelligent agents in rich and realistic environments.
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Unity ML-Agents SoccerTwos Environment
It is a flexible and intuitive framework which enables:
- Academic and industry researchers to study complex behaviors from visual content and realistic physics
- Industrial and enterprise researchers to implement large-scale parallel training regimes for robotics, autonomous vehicles, and other industrial applications
- Game developers to tackle challenges, such as using agents to dynamically adjust the game-difficulty level
## Your Projects
As a student in the Deep Reinforcement Learning Nanodegree program, you will complete three projects. These are the major milestones in your journey, where you'll be able to train your own artificially intelligent agents to perform complex tasks. All of the environments are derived from the Unity ML-Agents toolkit.

In Project 1, you will train an agent to collect yellow bananas while avoiding blue bananas.

In Project 2, you will train a robotic arm to reach target locations.
In Project 3, you will train a pair of agents to play tennis.