Skip to main content

A small RL helper function for reward normalization

Project description

This package helps normalize rewards between 0 and 1 for reinforcement learning experiments.

Project details


Release history Release notifications | RSS feed

This version

0.1

Download files

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

Source Distribution

rlhelper2-0.1.tar.gz (1.1 kB view details)

Uploaded Source

Built Distribution

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

rlhelper2-0.1-py3-none-any.whl (1.4 kB view details)

Uploaded Python 3

File details

Details for the file rlhelper2-0.1.tar.gz.

File metadata

  • Download URL: rlhelper2-0.1.tar.gz
  • Upload date:
  • Size: 1.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.9

File hashes

Hashes for rlhelper2-0.1.tar.gz
Algorithm Hash digest
SHA256 08fc09a2c915d687d2d6e0ec770c4443b5e399db5e4ac8e2d280527c4c964f79
MD5 ace457fa2e6e4c84741e48b2b0cfe07b
BLAKE2b-256 bb51bb8cf4686de8129b3dec40467b9be67e7de7cf3f361bd933213ff3d16bd1

See more details on using hashes here.

File details

Details for the file rlhelper2-0.1-py3-none-any.whl.

File metadata

  • Download URL: rlhelper2-0.1-py3-none-any.whl
  • Upload date:
  • Size: 1.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.9

File hashes

Hashes for rlhelper2-0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 df23817b1e6319edcecccdbf9dc26042a14231eaa00cfb239db2e28fae17e16b
MD5 7cf3de7d878a411587beedce8fab544c
BLAKE2b-256 ef93606a2a15e6a7fbd194a7ff85e7d4fe3d3a3086d091a97f3b795530e3ad70

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