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-0.0.10.tar.gz (8.4 kB view details)

Uploaded Source

Built Distribution

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

hilam-0.0.10-py3-none-any.whl (7.6 kB view details)

Uploaded Python 3

File details

Details for the file hilam-0.0.10.tar.gz.

File metadata

  • Download URL: hilam-0.0.10.tar.gz
  • Upload date:
  • Size: 8.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.13

File hashes

Hashes for hilam-0.0.10.tar.gz
Algorithm Hash digest
SHA256 e3edef1da1f89ca7e6c24fecb7e092c774fb2e186a1b3909d2e6f6cc90bd6d9c
MD5 f2abebcc80a40a35add5f88296453df2
BLAKE2b-256 85bb917f2c8dc1853a972c68309cf80276cbca9801a5553e25155e904e1f267d

See more details on using hashes here.

File details

Details for the file hilam-0.0.10-py3-none-any.whl.

File metadata

  • Download URL: hilam-0.0.10-py3-none-any.whl
  • Upload date:
  • Size: 7.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.13

File hashes

Hashes for hilam-0.0.10-py3-none-any.whl
Algorithm Hash digest
SHA256 7aced8a065f9c8f8f2b8fdf6722e752f15131185612b8bebf7b3da3413b3e538
MD5 1157c9f6f911948b3982d12ed1e7f608
BLAKE2b-256 f7d94597a3e889ffeee217e884eb698494d61b3cadb9c3d512dbfa3bd15df0a0

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