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
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)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
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
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
08fc09a2c915d687d2d6e0ec770c4443b5e399db5e4ac8e2d280527c4c964f79
|
|
| MD5 |
ace457fa2e6e4c84741e48b2b0cfe07b
|
|
| BLAKE2b-256 |
bb51bb8cf4686de8129b3dec40467b9be67e7de7cf3f361bd933213ff3d16bd1
|
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
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
df23817b1e6319edcecccdbf9dc26042a14231eaa00cfb239db2e28fae17e16b
|
|
| MD5 |
7cf3de7d878a411587beedce8fab544c
|
|
| BLAKE2b-256 |
ef93606a2a15e6a7fbd194a7ff85e7d4fe3d3a3086d091a97f3b795530e3ad70
|