Skip to main content

Transformer Metacontroller

Project description

metacontroller (wip)

Implementation of the MetaController proposed in Emergent temporal abstractions in autoregressive models enable hierarchical reinforcement learning

Install

$ pip install metacontroller-pytorch

Appreciation

  • Pranoy for submitting a pull request for fixing the previous latent action not being included in the inputs to the switching unit

Citations

@misc{kobayashi2025emergenttemporalabstractionsautoregressive,
    title   = {Emergent temporal abstractions in autoregressive models enable hierarchical reinforcement learning}, 
    author  = {Seijin Kobayashi and Yanick Schimpf and Maximilian Schlegel and Angelika Steger and Maciej Wolczyk and Johannes von Oswald and Nino Scherrer and Kaitlin Maile and Guillaume Lajoie and Blake A. Richards and Rif A. Saurous and James Manyika and Blaise Agüera y Arcas and Alexander Meulemans and João Sacramento},
    year    = {2025},
    eprint  = {2512.20605},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG},
    url     = {https://arxiv.org/abs/2512.20605}, 
}
@article{Wagenmaker2025SteeringYD,
    title   = {Steering Your Diffusion Policy with Latent Space Reinforcement Learning},
    author  = {Andrew Wagenmaker and Mitsuhiko Nakamoto and Yunchu Zhang and Seohong Park and Waleed Yagoub and Anusha Nagabandi and Abhishek Gupta and Sergey Levine},
    journal = {ArXiv},
    year    = {2025},
    volume  = {abs/2506.15799},
    url     = {https://api.semanticscholar.org/CorpusID:279464702}
}
@misc{fleuret2025freetransformer,
    title     = {The Free Transformer}, 
    author    = {François Fleuret},
    year      = {2025},
    eprint    = {2510.17558},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG},
    url       = {https://arxiv.org/abs/2510.17558}, 
}

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

metacontroller_pytorch-0.0.26.tar.gz (332.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

metacontroller_pytorch-0.0.26-py3-none-any.whl (8.0 kB view details)

Uploaded Python 3

File details

Details for the file metacontroller_pytorch-0.0.26.tar.gz.

File metadata

  • Download URL: metacontroller_pytorch-0.0.26.tar.gz
  • Upload date:
  • Size: 332.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.25

File hashes

Hashes for metacontroller_pytorch-0.0.26.tar.gz
Algorithm Hash digest
SHA256 241fa0b5b3024d7a78cbf6f2f559b2cd05121c7bd5ee54fd5d41dccbca55cbc1
MD5 357f4baa0fa82e79c5593e43dd5251b9
BLAKE2b-256 2d2da0121f89e85abd395c6fd22124b9bbabed175fe32680fd2144fa7e57d462

See more details on using hashes here.

File details

Details for the file metacontroller_pytorch-0.0.26-py3-none-any.whl.

File metadata

File hashes

Hashes for metacontroller_pytorch-0.0.26-py3-none-any.whl
Algorithm Hash digest
SHA256 377c556d83bf759f74e441d86a10dbfc6b9633cd1ce3d71605db318c335c9100
MD5 b545f3b74d57b103cf577b2c673bead9
BLAKE2b-256 c71b9352a68b420f1f57d2a7bcd1cc475572704927737b6106df28f65568a671

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page