DEDUPED Hot AI repos, turned into use cases Get the Monday 5

How to wrap a robot policy model with RoboTTT with Robo TTT

Use the full RoboTTT wrapper around a policy such as MimicVideo.

Short answer: Install robo-ttt; then Instantiate your policy model, for example MimicVideo; Wrap it with RoboTTT as in the README. All steps.

Who it is forAn ML engineer comparing policies with and without test-time training.

The problemIntegrating TTT into a full policy pipeline needs glue code.

The outcomeA policy wrapped with RoboTTT ready for training experiments.

What you need first

  • Python with PyTorch

Steps

  1. Install robo-ttt
  2. Instantiate your policy model, for example MimicVideo
  3. Wrap it with RoboTTT as in the README
  4. Run a forward pass and a loss step

Prompt for your agent

Wrap a MimicVideo policy with RoboTTT from lucidrains/robo_ttt, run one forward and backward pass on dummy data, and confirm gradients flow.

Caveat. MimicVideo is a separate model; the README shows wrapping it, not training it.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for lucidrains/robo_ttt and "Wrap a robot policy model with RoboTTT"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

Cursor, ChatGPT, others

Share: X LinkedIn Hacker News Email Copy link

Third-party repos we don't own. AI-written use cases can be wrong. Disclaimer