On behalf of the Unity ML-Agents team, we want to wish everyone and their loved ones a happy holiday and new year! As we close out 2020, we wanted to take a moment to highlight a few of our favorite community projects in 2020, recap our progress since our v1.0 release (Release 1) in April 2020, and provide an overview of what’s in store for 2021.
A few of our favorite community projects
Thank you to our entire community for all your contributions and feedback to the growth and evolution of the Unity ML-Agents Toolkit. We continue to be amazed by the creativity of our developers in illustrating new kinds of behaviors and approaches using deep learning. As we close out the year, we wanted to showcase some of our favorite projects in 2020. If you would like to share your projects, please share them in our forum. If you share your project on social media, remember to tag your posts using #mlagents.
A.I learns to play a game with an Xbox controller
From the virtual world to the real world and back into the virtual world. Created by LittleFrenchKev.
AI Learns Parallel Parking – Deep Reinforcement Learning
If only we could create an Agent to parallel park our cars in real life. Created by SamuelArzt.
Unity ML-Agents robot simulation transferred to a real-life robot
Illustration of an ML-Agents trained model being transferred into a real-life robot. Created by jsalli.
Competitive Self-Play | Unity ML-Agents
Recap since ML-Agents Release 1
Release 1, which came out in April 2020, was heavily centered around API stability, ease of installation, and releasing a verified Unity package. Since Release 1, we have prioritized shipping incremental improvements and bug fixes on a monthly basis in order to improve the stability of existing features. All of the notes and documentation for these improvements and bug fixes can be found in the release notes here.
In addition to these improvements and bug fixes, we have also shipped several new features to support training intelligent Agents in Unity projects.