@formalsystem @awjuliani Hey!
This page might help https://t.co/EhZjZqpiL9
You can enumerate the keys in the registry with something like :
list(default_registry.keys())
The latest release of #mlagents introduces the #unity3d Environment Registry! This allows you to use our example environments for #machinelearning anytime and anywhere.
Here is a notebook running a simple Q-Learning on the GridWorld environment! https://t.co/MxyWvUeLmU
Today, after more than two and a half years of development and 15+ release updates, we are excited to announce that the ML-Agents Unity package has reached v1.0: https://t.co/H2D0aEgRiI @unity3d#AI#Simulation
After 2.5 amazing years working with studios, researchers, and students all over the world, we are excited to announce that #MLAgents Unity Package v1.0 is now available as a preview package! 🎉
Learn more about this release: https://t.co/U9dZLISU9o
Added a reward for matching a pose and got a much better result. Although I accidentally set the target height too high. To get the reward it is standing on its tippy toes. #mlagents
Check out my new post on the @unity3d blog! Learn all about our new self-play feature that’s part of the 0.14 release of #MLAgents https://t.co/nrWHHKTqho #unity#unity3d
Meet guest lecturer Vincent-Pierre Berges @vinceberges Senior MachineLearning Engineer at @unity3d! He was one of the founders of Unity MachineLearning Agents and joins #GameAISchool2020 with a workshop on Unity and ML for Research & NPC AI!
Register now! https://t.co/wGMZOIqhMn
ML-Agents v0.14 is here! What’s included?
✅ A new self-play feature for adversarial scenario
✅ Unity Package for #MLAgents
✅ Several refactoring improvements
& much more!
See what's new with the release on GitHub. https://t.co/R4Utgyb3gc
@unity3d and ML-agents remain the heart of the Arena Building Toolkit, so big thanks to @awjuliani@vinceberges@shihzy and all the ML folks at Unity, as well as @MaCroPhilosophy and @BenBeyret for paving the way with Animal-AI Olympics and providing great feedback