Introducing Snowball Fight ☃️, our first ML-Agents environment

What changed

Snowball Fight is a game made with Unity ML-Agents, where you shoot snowballs against a Deep Reinforcement Learning agent. The Unity Machine Learning Agents Toolkit is an open source library that allows you to build games and simulations with Unity game engine to serve as environments for training intelligent agents. It's also in this discord that we'll announce all our new environments and features in the future.

Why it matters

A concrete addition to Practical AI: Tools, Models & Frameworks: it changes what's available to builders today rather than being general commentary.

How it compares

Related prior coverage to compare against:

• Stable Diffusion XL on Mac with Advanced Core ML Quantization
• Going multimodal: How Prezi is leveraging the Hub and the Expert Support Program to accelerate their ML roadmap
• Introducing the Stateful Runtime Environment for Agents in Amazon Bedrock

• Stable Diffusion XL on Mac with Advanced Core ML Quantization similarity 0.17
• Going multimodal: How Prezi is leveraging the Hub and the Expert Support Program to accelerate their ML roadmap similarity 0.15
• Introducing the Stateful Runtime Environment for Agents in Amazon Bedrock similarity 0.15