本日、Unity ML-Agents Toolkit の更新がリリースされ、単一のマシンで複数の Unity シミュレーションを実行することで迅速なトレーニングを行うことが可能となりました。このアップグレードによって、キャラクター挙動の作成における深層強化学習アルゴリズムのトレー... さらに読む
Training your agents 7 times faster with ML-Agents
In versions 0.9 and 0.10 of ML-Agents, we introduced a series of features aimed at decreasing training time, namely Asynchronous Environments, Generative Adversarial Imitation Learning (GAIL), and Soft Actor-Critic. With our partner JamCity, we previously showed that the parallel... さらに読む
In versions 0.9 and 0.10 of ML-Agents, we introduced a series of features aimed at decreasing training time, namely Asynchronous Environments, Generative Adversarial Imitation Learning (GAIL), and Soft Actor-Critic. With our partner JamCity, we previously showed that the parallel... さらに読む
The AI@Unity interns help shape the world
Every Summer, we recruit interns to help us deliver on our mission to empower Unity developers with AI and Machine Learning tools and services. Last summer, the AI@Unity ... さらに読む
Announcing the Obstacle Tower Challenge winners and open source release
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... さらに読む
Obstacle Tower Challenge Round 2 begins today
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... さらに読む
