PyLoL - League of Legends v4.20 Learning Environment
PyLoL is the Python component of the League of Legends v4.20 Learning Environment (using a modified version of the LeagueSandbox's GameServer project, not the original server from Riot). It exposes a custom machine learning API for the GameServer project as a Python RL Environment. PyLoL provides an interface for RL agents to interact with the League of Legends v4.20, getting observations and sending actions.
Read the README at https://github.com/MiscellaneousStuff/pylol for more information.
Metadata
Release files for pylol-rl 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pylol-rl-1.0.0.tar.gz | 35.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pylol_rl-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 102.7 kB
Release files / pylol-rl-1.0.0.tar.gz
| Download URL | pylol-rl-1.0.0.tar.gz |
|---|---|
| Size | 35.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.3.0 pkginfo/1.6.1 requests/2.24.0 setuptools/50.3.1.post20201107 requests-toolbelt/0.9.1 tqdm/4.54.0 CPython/3.8.5
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Release files / pylol_rl-1.0.0-py3-none-any.whl
| Download URL | pylol_rl-1.0.0-py3-none-any.whl |
|---|---|
| Size | 66.9 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.3.0 pkginfo/1.6.1 requests/2.24.0 setuptools/50.3.1.post20201107 requests-toolbelt/0.9.1 tqdm/4.54.0 CPython/3.8.5
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