Applying the elsciRL architecture to Reinforcement Learning problems.
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
elscirl-0.1.7.tar.gz
(537.6 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
elsciRL-0.1.7-py3-none-any.whl
(607.8 kB
view details)
File details
Details for the file elscirl-0.1.7.tar.gz.
File metadata
- Download URL: elscirl-0.1.7.tar.gz
- Upload date:
- Size: 537.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.11.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f0d36b68b8d78c53b61af641d9a051907c71e77565c0a3d6959079cf2f115df9
|
|
| MD5 |
1c3c097cac9195528027d999fd2b7e95
|
|
| BLAKE2b-256 |
971224c518b473b22fcecea99bbbb84f39dfa01f534292d2e323fb158aed9027
|
File details
Details for the file elsciRL-0.1.7-py3-none-any.whl.
File metadata
- Download URL: elsciRL-0.1.7-py3-none-any.whl
- Upload date:
- Size: 607.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.11.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4e3f05725a04f5ffc90bf4c60ea3999a65fe8081bb45a85c91c69db16de3e1aa
|
|
| MD5 |
dcfe886105e23bb25a27258fdfd08dfc
|
|
| BLAKE2b-256 |
9ccfd52a659248743a7c6c40ebd0b5096cd20aacd76afa4f3013a339c1525724
|