A demo trains and visualizes RL policies inside tldraw, fully offline
max__drake · x · 2026-07-25
A demo shows training and visualizing RL policies inside tldraw, offline.
The post is short, but the core idea is a workflow where reinforcement-learning policies are developed and inspected in a familiar canvas-style interface rather than a traditional ML notebook. That makes it interesting as both a research-engineering prototype and a tooling experiment.
More from coding & agent
- GlobalGPT adds video generation inside Codex via MCP — HeyNayeem · 2026-07-25
- GlobalGPT brings video generation into Codex through MCP — HeyNayeem · 2026-07-25
- GlobalGPT image generation now runs inside Codex through MCP — HeyNayeem · 2026-07-25
- Dev Builds Fully Agentic AI Newsroom on MiniMax M3, Burning 1-2B Tokens Daily — robleclerc · 2026-07-25
- This open-source tool lets agents safely edit Google Docs through a local sync layer — Such-Law3535 · 2026-07-25
- A developer burned 2 billion tokens porting a Mac app to iPhone — nicolascraske · 2026-07-25