December 28, 2020
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.
November 20, 2020
Within Eidos Labs, several projects use machine learning. The Automated Game Testing project tackles the problem of testing the functionality of expansive AAA games by modeling player behavior with agents that have learned behavior using reinforcement learning (RL). In this...
May 12, 2020
On September 17, 2017, the first version of Unity Machine Learning Agents Toolkit (ML-Agents) was released. The mission was simple – allow game developers and AI researchers alike to use Unity as a platform to train and embed intelligent agents using the latest advancements in ma...
March 24, 2020
On March 23rd, we announced Unity Game Simulation at the Google for Games Developer Summit. Unity Game Simulation is a cloud service that enables game studios to complement their pre-launch playtests through the power of simulation. Supported by Google Cloud’s infrastructure, Uni...
August 7, 2019
After six months of competition (and a few last-minute submissions), we are happy to announce the conclusion and winners of the Obstacle Tower Challenge. We want to thank all of the participants for both rounds and congratulate Alex Nichol, the Compscience.org team, and Songbing ...
May 15, 2019
In February, we launched the first round of the Obstacle Tower Challenge. Since the closing of the round, we have received 2000+ entries from 350+ teams. We want to thank all the participants of the first round, congratulate the top eligible teams moving on to round 2, and share ...