July 12, 2021
We are excited to share a new open-source environment to further demonstrate what ML-Agents can do. DodgeBall is a competitive team vs. team shooter-like environment where agents compete in rounds of Elimination or Capture-the-Flag.
May 5, 2021
Today, we’re delighted to announce the v2.0 release of the ML-Agents Unity package, currently on track to be verified for the 2021.2 Editor release.
November 11, 2020
Each summer, interns join AI@Unity to develop highly impactful technology that forwards our mission to empower Unity developers with Artificial Intelligence and Machine Learning tools and services. This past summer was no different, and the AI@Unity group was delighted to have 24...
February 28, 2020
In the latest release of the ML-Agents Toolkit (v0.14), we have added a self-play feature that provides the capability to train competitive agents in adversarial games (as in zero-sum games, where one agent’s gain is exactly the other agent’s loss). In this blog post, we provide ...