Skip to main content

Implementation of the Hierarchical Latent Action Model

Project description

HiLAM (wip)

Implementation of the Hierarchical Latent Action Model, proposed by Hanjung Kim et al. of Yonsei University

Citations

@misc{kim2026hierarchicallatentactionmodel,
    title   = {Hierarchical Latent Action Model}, 
    author  = {Hanjung Kim and Lerrel Pinto and Seon Joo Kim},
    year    = {2026},
    eprint  = {2603.05815},
    archivePrefix = {arXiv},
    primaryClass = {cs.RO},
    url     = {https://arxiv.org/abs/2603.05815}, 
}
@misc{schmidt2024learningactactions,
    title   = {Learning to Act without Actions}, 
    author  = {Dominik Schmidt and Minqi Jiang},
    year    = {2024},
    eprint  = {2312.10812},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG},
    url     = {https://arxiv.org/abs/2312.10812}, 
}
@misc{hwang2025dynamicchunkingendtoendhierarchical,
    title   = {Dynamic Chunking for End-to-End Hierarchical Sequence Modeling}, 
    author  = {Sukjun Hwang and Brandon Wang and Albert Gu},
    year    = {2025},
    eprint  = {2507.07955},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG},
    url     = {https://arxiv.org/abs/2507.07955}, 
}

Project details


Download files

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

Source Distribution

hilam-0.0.2.tar.gz (5.7 kB view details)

Uploaded Source

Built Distribution

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

hilam-0.0.2-py3-none-any.whl (4.8 kB view details)

Uploaded Python 3

File details

Details for the file hilam-0.0.2.tar.gz.

File metadata

  • Download URL: hilam-0.0.2.tar.gz
  • Upload date:
  • Size: 5.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.13

File hashes

Hashes for hilam-0.0.2.tar.gz
Algorithm Hash digest
SHA256 3ac1f91ff38c2ee9b468ee4656eb2c50f0e83a8144cf3931d7223f44ddc88f1a
MD5 65dd86178a291488898d03ac0548dd31
BLAKE2b-256 27277e091f996542d8b0d0a21f6965af2c2f05ffb2db3d9d704e48dfd48a7d72

See more details on using hashes here.

File details

Details for the file hilam-0.0.2-py3-none-any.whl.

File metadata

  • Download URL: hilam-0.0.2-py3-none-any.whl
  • Upload date:
  • Size: 4.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.13

File hashes

Hashes for hilam-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 ea0afb6bc4257c70cd60a219438af76aefb8f399448191603859a840838811f6
MD5 a2107c977c3a8ee08f179b05122b541c
BLAKE2b-256 397fadd68f897bf795830f3d5c919686cfff998775664c407c819e4e139bd935

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