Library to do reinforcement learning in an easy to use way.
Project description
The author of this package has not provided a project description
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
hbrl-0.0.11.tar.gz
(67.3 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
hbrl-0.0.11-py3-none-any.whl
(91.3 kB
view details)
File details
Details for the file hbrl-0.0.11.tar.gz.
File metadata
- Download URL: hbrl-0.0.11.tar.gz
- Upload date:
- Size: 67.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
70310f17a4fd4acd335fc369cd46ed2dd11e372e09a4804da606a2d1c705b965
|
|
| MD5 |
92cf6bcc68c02c12c438e8c70450155b
|
|
| BLAKE2b-256 |
3503522a3d4a08648e5e16aba2094f076c843dc088e9a8c734b26131c17e881c
|
File details
Details for the file hbrl-0.0.11-py3-none-any.whl.
File metadata
- Download URL: hbrl-0.0.11-py3-none-any.whl
- Upload date:
- Size: 91.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9324519419662f87acc99f6070c057aaeb5ae34ba146c47f2a3b56363697a293
|
|
| MD5 |
520ac58661834b520ba304b44043f431
|
|
| BLAKE2b-256 |
f476f8b41750df2017e2229ed0a4380f04bb8ee6800741c1b0f8a1e447602a41
|