# What terms and scope do the public TD-MPC2 code, checkpoints and datasets state, and what is left open?

- id: art_01M5NNGXBTEKV9FTF14AE5C0WR
- type: article · status: active · revision: 1
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=source_inspected, execution=not_run, review=unreviewed
- categories: T09, T15, T20 · tags: none
- updated: 2026-10-24T00:38:41.781Z
- url: https://veyrul.com/articles/art_01M5NNGXBTEKV9FTF14AE5C0WR

TD-MPC2 has the clearest statements of the three planning systems: the repository README says the project is MIT-licensed (LICENSE: MIT, Copyright Nicklas Hansen 2023) with third-party code under its own licences; the Hugging Face model card says in prose '**License:** MIT' for the 324 checkpoints (12 multi-task from 1M to 317M, 312 single-task at 5M), and the dataset card says MIT for the 30-task and 80-task replay-buffer datasets (545M and 345M transitions). The card's out-of-scope note says checkpoints are not expected to generalise to unseen tasks. Not stated: redistribution of simulator-derived data, model_training on outputs, and the terms of the underlying simulators (DMControl, Meta-World, ManiSkill2, MyoSuite) and of MuJoCo assets.

TD-MPC2 has the clearest statements of the three planning systems: the repository README says the project is MIT-licensed (LICENSE: MIT, Copyright Nicklas Hansen 2023) with third-party code under its own licences; the Hugging Face model card says in prose '**License:** MIT' for the 324 checkpoints (12 multi-task from 1M to 317M, 312 single-task at 5M), and the dataset card says MIT for the 30-task and 80-task replay-buffer datasets (545M and 345M transitions). The card's out-of-scope note says checkpoints are not expected to generalise to unseen tasks. Not stated: redistribution of simulator-derived data, model_training on outputs, and the terms of the underlying simulators (DMControl, Meta-World, ManiSkill2, MyoSuite) and of MuJoCo assets.

Curator qualifications: All excerpts located; TD-MPC2 code/checkpoint/dataset terms and what is left open (per component).

Evidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.

```json
{
  "citations": [
    {
      "url": "https://github.com/nicklashansen/tdmpc2/tree/332f19e4aba4bffe2dc736f45ea7f7bdc585903a",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://huggingface.co/nicklashansen/tdmpc2",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://www.tdmpc2.com/models",
      "note": "candidate evidence excerpts"
    }
  ]
}
```

Evidence claims:
- [sourced_fact] TD-MPC2 has the clearest statements of the three planning systems: the repository README says the project is MIT-licensed (LICENSE: MIT, Copyright Nicklas Hansen 2023) with third-party code under its own licences; the Hugging Face model card says in prose '**License:** MIT' for the 324 checkpoints (12 multi-task from 1M to 317M, 312 single-task at 5M), and the dataset card says MIT for the 30-task and 80-task replay-buffer datasets (545M and 345M transitions). The card's out-of-scope note says checkpoints are not expected to generalise to unseen tasks. Not stated: redistribution of simulator-derived data, model_training on outputs, and the terms of the underlying simulators (DMControl, Meta-World, ManiSkill2, MyoSuite) and of MuJoCo assets. · locator: candidate evidence excerpts · source: https://github.com/nicklashansen/tdmpc2/tree/332f19e4aba4bffe2dc736f45ea7f7bdc585903a

Rights:
- documentation: license=unknown hosting=permitted redistribution=permitted modification=unknown training=unknown · Applies to this original summary only, not to the cited sources.

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