惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

N
News and Events Feed by Topic
V
V2EX
博客园 - 【当耐特】
Vercel News
Vercel News
雷峰网
雷峰网
爱范儿
爱范儿
WordPress大学
WordPress大学
云风的 BLOG
云风的 BLOG
S
Securelist
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
Microsoft Azure Blog
Microsoft Azure Blog
F
Full Disclosure
有赞技术团队
有赞技术团队
Hugging Face - Blog
Hugging Face - Blog
NISL@THU
NISL@THU
www.infosecurity-magazine.com
www.infosecurity-magazine.com
Attack and Defense Labs
Attack and Defense Labs
Application and Cybersecurity Blog
Application and Cybersecurity Blog
Hacker News - Newest:
Hacker News - Newest: "LLM"
Microsoft Security Blog
Microsoft Security Blog
腾讯CDC
P
Proofpoint News Feed
B
Blog
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
K
Kaspersky official blog
I
InfoQ
Google Online Security Blog
Google Online Security Blog
L
LINUX DO - 最新话题
Project Zero
Project Zero
Engineering at Meta
Engineering at Meta
V
Visual Studio Blog
AI
AI
Schneier on Security
Schneier on Security
B
Blog RSS Feed
T
Tor Project blog
H
Help Net Security
H
Hackread – Cybersecurity News, Data Breaches, AI and More
L
LINUX DO - 热门话题
阮一峰的网络日志
阮一峰的网络日志
S
Security @ Cisco Blogs
T
Threat Research - Cisco Blogs
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
C
Cyber Attacks, Cyber Crime and Cyber Security
G
Google Developers Blog
Google DeepMind News
Google DeepMind News
V2EX - 技术
V2EX - 技术
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
A
Arctic Wolf
Webroot Blog
Webroot Blog
Recent Commits to openclaw:main
Recent Commits to openclaw:main

Hugging Face - Blog

Waypoint-1.5: Higher-Fidelity Interactive Worlds for Everyday GPUs ALTK‑Evolve: On‑the‑Job Learning for AI Agents Safetensors is Joining the PyTorch Foundation Holo3: Breaking the Computer Use Frontier Any Custom Frontend with Gradio's Backend A New Framework for Evaluating Voice Agents (EVA) Bringing Robotics AI to Embedded Platforms: Dataset Recording, VLA Fine‑Tuning, and On‑Device Optimizations One-Shot Any Web App with Gradio's gr.HTML CUGA on Hugging Face: Democratizing Configurable AI Agents New in llama.cpp: Model Management Building Deep Research: How we Achieved State of the Art OVHcloud on Hugging Face Inference Providers 🔥 20x Faster TRL Fine-tuning with RapidFire AI Building for an Open Future - our new partnership with Google Cloud Aligning to What? Rethinking Agent Generalization in MiniMax M2 Building a Healthcare Robot from Simulation to Deployment with NVIDIA Isaac Sentence Transformers is joining Hugging Face! Unlock the power of images with AI Sheets Supercharge your OCR Pipelines with Open Models Google Cloud C4 Brings a 70% TCO improvement on GPT OSS with Intel and Hugging Face Get your VLM running in 3 simple steps on Intel CPUs Nemotron-Personas-India: Synthesized Data for Sovereign AI Introducing RTEB: A New Standard for Retrieval Evaluation Accelerating Qwen3-8B Agent on Intel® Core™ Ultra with Depth-Pruned Draft Models VibeGame: Exploring Vibe Coding Games Nemotron-Personas-Japan: ソブリン AI のための合成データセット Swift Transformers Reaches 1.0 – and Looks to the Future Smol2Operator: Post-Training GUI Agents for Computer Use SyGra: The One-Stop Framework for Building Data for LLMs and SLMs Gaia2 and ARE: Empowering the community to study agents Scaleway on Hugging Face Inference Providers 🔥 Democratizing AI Safety with RiskRubric.ai Public AI on Hugging Face Inference Providers 🔥 `LeRobotDataset:v3.0`: Bringing large-scale datasets to `lerobot` Visible Watermarking with Gradio Introducing the Palmyra-mini family: Powerful, lightweight, and ready to reason! Tricks from OpenAI gpt-oss YOU 🫵 can use with transformers Fine-tune Any LLM from the Hugging Face Hub with Together AI Jupyter Agents: training LLMs to reason with notebooks mmBERT: ModernBERT goes Multilingual Welcome EmbeddingGemma, Google's new efficient embedding model SAIR: Accelerating Pharma R&D with AI-Powered Structural Intelligence Make your ZeroGPU Spaces go brrr with ahead-of-time compilation NVIDIA Releases 6 Million Multi-Lingual Reasoning Dataset Generate Images with Claude and Hugging Face From Zero to GPU: A Guide to Building and Scaling Production-Ready CUDA Kernels MCP for Research: How to Connect AI to Research Tools Kimina-Prover-RL Arm & ExecuTorch 0.7: Bringing Generative AI to the masses Neural Super Sampling is here! TextQuests: How Good are LLMs at Text-Based Video Games? 🇵🇭 FilBench - Can LLMs Understand and Generate Filipino? Introducing AI Sheets: a tool to work with datasets using open AI models! Accelerate ND-Parallel: A guide to Efficient Multi-GPU Training Vision Language Model Alignment in TRL ⚡️ Welcome GPT OSS, the new open-source model family from OpenAI! Measuring Open-Source Llama Nemotron Models on DeepResearch Bench 📚 3LM: A Benchmark for Arabic LLMs in STEM and Code Implementing MCP Servers in Python: An AI Shopping Assistant with Gradio Introducing Trackio: A Lightweight Experiment Tracking Library from Hugging Face Say hello to `hf`: a faster, friendlier Hugging Face CLI ✨ Parquet Content-Defined Chunking TimeScope: How Long Can Your Video Large Multimodal Model Go? Fast LoRA inference for Flux with Diffusers and PEFT Accelerate a World of LLMs on Hugging Face with NVIDIA NIM Arc Virtual Cell Challenge: A Primer Consilium: When Multiple LLMs Collaborate Back to The Future: Evaluating AI Agents on Predicting Future Events Five Big Improvements to Gradio MCP Servers Ettin Suite: SoTA Paired Encoders and Decoders Migrating the Hub from Git LFS to Xet Kimina-Prover: Applying Test-time RL Search on Large Formal Reasoning Models Asynchronous Robot Inference: Decoupling Action Prediction and Execution ScreenEnv: Deploy your full stack Desktop Agent Building the Hugging Face MCP Server Reachy Mini - The Open-Source Robot for Today's and Tomorrow's AI Builders Creating custom kernels for the AMD MI300 Upskill your LLMs With Gradio MCP Servers SmolLM3: smol, multilingual, long-context reasoner Three Mighty Alerts Supporting Hugging Face’s Production Infrastructure Efficient MultiModal Data Pipeline Announcing NeurIPS 2025 E2LM Competition: Early Training Evaluation of Language Models Training and Finetuning Sparse Embedding Models with Sentence Transformers Welcome the NVIDIA Llama Nemotron Nano VLM to Hugging Face Hub Gemma 3n fully available in the open-source ecosystem! Transformers backend integration in SGLang (LoRA) Fine-Tuning FLUX.1-dev on Consumer Hardware Groq on Hugging Face Inference Providers 🔥 How Long Prompts Block Other Requests - Optimizing LLM Performance Learn the Hugging Face Kernel Hub in 5 Minutes Convert Transformers to ONNX with Hugging Face Optimum Intel and Hugging Face Partner to Democratize Machine Learning Hardware Acceleration Director of Machine Learning Insights [Part 3: Finance Edition] The Annotated Diffusion Model Deep Q-Learning with Space Invaders Graphcore and Hugging Face Launch New Lineup of IPU-Ready Transformers Introducing Pull Requests and Discussions 🥳 Efficient Table Pre-training without Real Data: An Introduction to TAPEX An Introduction to Q-Learning Part 2/2 How Sempre Health is leveraging the Expert Acceleration Program to accelerate their ML roadmap
Introducing Snowball Fight ☃️, our first ML-Agents environment
Thomas Simonini · 2021-12-02 · via Hugging Face - Blog

Back to Articles

Thomas Simonini's avatar

We're excited to share our first custom Deep Reinforcement Learning environment: Snowball Fight 1vs1 🎉. gif

Snowball Fight is a game made with Unity ML-Agents, where you shoot snowballs against a Deep Reinforcement Learning agent. The game is hosted on Hugging Face Spaces.

👉 You can play it online here

In this post, we'll cover the ecosystem we are working on for Deep Reinforcement Learning researchers and enthusiasts that use Unity ML-Agents.

Unity ML-Agents at Hugging Face

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.

With this first step, our goal is to build an ecosystem on Hugging Face for Deep Reinforcement Learning researchers and enthusiasts that uses ML-Agents, with three features.

  1. Building and sharing custom environments. We are developing and sharing exciting environments to experiment with new problems: snowball fights, racing, puzzles... All of them will be open source and hosted on the Hugging Face's Hub.
  2. Allowing you to easily host your environments, save models and share them on the Hugging Face Hub. We have already published the Snowball Fight training environment here, but there will be more to come!
  3. You can now easily host your demos on Spaces and showcase your results quickly with the rest of the ecosystem.

Be part of the conversation: join our discord server!

If you're using ML-Agents or interested in Deep Reinforcement Learning and want to be part of the conversation, you can join our discord server. We just added two channels (and we'll add more in the future):

  • Deep Reinforcement Learning
  • ML-Agents

Our discord is the place where you can exchange about Hugging Face, NLP, Deep RL, and more! It's also in this discord that we'll announce all our new environments and features in the future.

What's next?

In the coming weeks and months, we will be extending the ecosystem by:

screenshot2vs2

  • And we're building new custom environments that will be hosted in Hugging Face.

Conclusion

We're excited to see what you're working on with ML-Agents and how we can build features and tools that help you to empower your work.

Don't forget to join our discord server to be alerted of the new features.