A Multi Agent Reinforcement Learning environment
Project description
SnakeRL
A Multi Agent Reinforcement Learning environment
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
SnakeRL-0.0.1.tar.gz
(1.0 kB
view details)
Built Distribution
File details
Details for the file SnakeRL-0.0.1.tar.gz
.
File metadata
- Download URL: SnakeRL-0.0.1.tar.gz
- Upload date:
- Size: 1.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.0.0 requests-toolbelt/0.8.0 tqdm/4.24.0 CPython/3.6.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9ce21d1138f06ed0f9f0505ea81b2cd538d18c92767322ca254f3390e8f62e9d |
|
MD5 | 27cd8a54658ad0b7a8f0b897f863748d |
|
BLAKE2b-256 | 1f48b653d04f8d7878299b312ac81ab7219cc72a6744916bb139f8612a0d2a9a |
File details
Details for the file SnakeRL-0.0.1-py3-none-any.whl
.
File metadata
- Download URL: SnakeRL-0.0.1-py3-none-any.whl
- Upload date:
- Size: 1.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.0.0 requests-toolbelt/0.8.0 tqdm/4.24.0 CPython/3.6.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 092ae0e505086a6b5dd8b2de5553f35bc94f455385da3d1325f64360104903f4 |
|
MD5 | f15c4eb764e2b68fd24b0f646fe60ee3 |
|
BLAKE2b-256 | e184baa06f4f6157a74b519973b42d298dcc71968acf42c633df239290a7a8ee |