Reinforcement learning framework for implementing custom models on custom environments using state of the art RL algorithms
Project description
The author of this package has not provided a project description
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
lazaro-0.1.1.tar.gz
(29.3 kB
view details)
Built Distribution
lazaro-0.1.1-py3-none-any.whl
(48.2 kB
view details)
File details
Details for the file lazaro-0.1.1.tar.gz
.
File metadata
- Download URL: lazaro-0.1.1.tar.gz
- Upload date:
- Size: 29.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.8.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5f05ee3a18839d717079643c482ed6343318273a3858c85fe43c6b8c7a4bdc3d |
|
MD5 | 98633c2b3ceb7f3f92e7820b3448f0b8 |
|
BLAKE2b-256 | c5bb4925dfb9cafb8d8ad5e193aac8e3c5e6e5f9cd0b9eb494b0f3b959c4d651 |
File details
Details for the file lazaro-0.1.1-py3-none-any.whl
.
File metadata
- Download URL: lazaro-0.1.1-py3-none-any.whl
- Upload date:
- Size: 48.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.8.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 83780108a05ec617935439ff3d5382445df5d57b7b26d032a1d1ffe0b3e66be6 |
|
MD5 | ae39b4b5a514db64b399ec88d791791f |
|
BLAKE2b-256 | 50e839cf2b47854ffe1f9f64e74ec20ea4c4272374eeb0dd429801f3fd8f66b6 |