URNAI Tools is a modular Deep Reinforcement Learning library that supports multiple environments, such as PySC2, OpenAI Gym, and PyGame Learning Environment. The main goal of URNAI Tools is to provide an easy way to develop DRL agents in a way that allows the developer to reuse as much code as possible when developing different agents, and that also allows him to reuse previously implemented models in different environments and to integrate new environments easily when necessary. The main advantage of using URNAI Tools is that the models you make for one environment will also work in other environments, so you can prototype new agents for different environments very easily.
Release files for urnai 0.0.2.post1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| urnai-0.0.2.post1.tar.gz | 52.2 kB | Without provenance | Details |
Release files / urnai-0.0.2.post1.tar.gz
| Download URL | urnai-0.0.2.post1.tar.gz |
|---|---|
| Size | 52.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
2826f61b9be66bb4c727cd73eb2b178abd8e67da591f261e2e18605e4edaeaf7
|
|
BLAKE2b-256 checksum How to use checksums |
c764ea25f0ad9ced88dc9db3a174dd7bf2b647ab3943021760b5d83434cda22d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.4
|
Security for urnai 0.0.2.post1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
