Applying the elsciRL architecture to Reinforcement Learning problems.
Project description
The author of this package has not provided a project description
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-0.1.47.tar.gz
(962.1 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 elscirl-0.1.47.tar.gz.
File metadata
- Download URL: elscirl-0.1.47.tar.gz
- Upload date:
- Size: 962.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.11.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8b2d9211f05d59e5b91948ea70d6455ce8a77b0b47fe0dc0a0c0140f249d8055
|
|
| MD5 |
09c770767a232d610828873d4b6c3c30
|
|
| BLAKE2b-256 |
88c03c7a71abf3438a5a926151f0467b2c288ef7c255e465f1bae042adc404b3
|
File details
Details for the file elsciRL-0.1.47-py3-none-any.whl.
File metadata
- Download URL: elsciRL-0.1.47-py3-none-any.whl
- Upload date:
- Size: 1.0 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.11.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0f51c53208a3011e6808a7d28a512da7fe1d7da28fe6556c2fa48a6e31747e38
|
|
| MD5 |
384829d87738ed0f4b7de621143e1295
|
|
| BLAKE2b-256 |
db8145178957ba0e3b12242822c311b87a6f3431e8957826bc59771f7fc474fc
|
