Skip to main content

Streaming Deep Reinforcement Learning

Project description

Streaming Deep RL (wip)

Explorations into the proposed Streaming Deep Reinforcement Learning, from University of Alberta

Once completed, if it checks out, will reach to integrate the Stream Q(λ) with Q-Transformer

A recent testimony to Streaming AC(λ) variant can be found here. Will be incorporated into the repository as well with a few improvements.

Paper reading by Youtube AI/ML educator @hu-po

The official repository can be found here

Citations

@inproceedings{Elsayed2024StreamingDR,
    title   = {Streaming Deep Reinforcement Learning Finally Works},
    author  = {Mohamed Elsayed and Gautham Vasan and A. Rupam Mahmood},
    year    = {2024},
    url     = {https://api.semanticscholar.org/CorpusID:273482696}
}
@article{Nauman2024BiggerRO,
    title   = {Bigger, Regularized, Optimistic: scaling for compute and sample-efficient continuous control},
    author  = {Michal Nauman and Mateusz Ostaszewski and Krzysztof Jankowski and Piotr Milo's and Marek Cygan},
    journal = {ArXiv},
    year    = {2024},
    volume  = {abs/2405.16158},
    url     = {https://api.semanticscholar.org/CorpusID:270063045}
}

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

streaming_deep_rl-0.0.3.tar.gz (7.0 kB view details)

Uploaded Source

Built Distribution

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

streaming_deep_rl-0.0.3-py3-none-any.whl (6.8 kB view details)

Uploaded Python 3

File details

Details for the file streaming_deep_rl-0.0.3.tar.gz.

File metadata

  • Download URL: streaming_deep_rl-0.0.3.tar.gz
  • Upload date:
  • Size: 7.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.17

File hashes

Hashes for streaming_deep_rl-0.0.3.tar.gz
Algorithm Hash digest
SHA256 ae4e32121be53dd68efee83622bd9b3328fae866cab9ca0b5fe3b83429c29399
MD5 611563df00c099181e1e936e1c41556b
BLAKE2b-256 945854e177b4d7681de059ce753bec3b8211f4278552495cd7c784cd0ec307f8

See more details on using hashes here.

File details

Details for the file streaming_deep_rl-0.0.3-py3-none-any.whl.

File metadata

File hashes

Hashes for streaming_deep_rl-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 f928637c6304ad0d1826c06d176e54d477c7ba9e4d59557fc3c5ea7b18b67736
MD5 363ebc246f108bf67602e40a58357f2e
BLAKE2b-256 02a801a189ec9bc006339326c892b6389446087d508f1d9593c157ef0a5a93a3

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