Hugging Face publishes Training Agents 3 on building local open-weight agents with RL
huggingface · x · 2026-07-28
Hugging Face is releasing “Training Agents 3,” a guide on training a local or open-weight agent with reinforcement learning.
The post points readers to a hands-on workflow rather than a model announcement: how to build and train an agent using RL, with the implication that the material is meant for practitioners working on agentic systems.
More from coding & agent
- Isolating Antigravity chats per subfolder with AGY Rules and PreInvocation Hooks — bibryam · 2026-10-16
- Gemini shown off modding Minecraft to turn players into any Spider-Man — zacharynado · 2026-10-16
- Workflow: annotate UI screenshots in tldraw, hand to Claude, get better UI — max__drake · 2026-10-16
- Beyond chat wrappers: designing stateful, multimodal AI apps as interaction conductors — dr_cintas · 2026-10-16
- IBM engineer maps 5 levels of AI coding, from manual to a 3-day agent software factory — TejasKumar_ · 2026-10-16
- 10 open-source repos that let your AI agent reverse-engineer apps and games — victor_explore · 2026-10-16