Project description

PolicyParrot

PolicyParrot aims to provide a light guidance in coding RL algorithms. It doesn't expect you to code RL from scratch, but equally it doesn't confuse you with lots of inheritance.

PolicyParrot doesn't confuse and allows flexibility - classes are totally flat,
PolicyParrot encourages standardisation across algorithms - all SOTA algorithms follow PolicyParrot's class schemas.

Diagram showing that PolicyParrot aims to minimise how difficult it can be to implement RL algorithms

Project details

These details have not been verified by PyPI

Project links

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Release history Release notifications | RSS feed

This version

0.0.2

Nov 1, 2022

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

policyparrot-0.0.2.tar.gz (9.8 MB view hashes)

Uploaded Nov 1, 2022 Source

Built Distribution

policyparrot-0.0.2-py3-none-any.whl (5.3 kB view hashes)

Uploaded Nov 1, 2022 Python 3

Hashes for policyparrot-0.0.2.tar.gz

Hashes for policyparrot-0.0.2.tar.gz
Algorithm	Hash digest
SHA256	`94b3e4b2510e9db2a42475338232b2f301832e8b295fb60a4a3f783cdd9dc383`
MD5	`762bf1a63786b829e0bc5d80c6dc5b59`
BLAKE2b-256	`5e4cf197f850f8dd0c4ffc86b6aa483a939714dfb46c08648d35e587e5953264`

Hashes for policyparrot-0.0.2-py3-none-any.whl

Hashes for policyparrot-0.0.2-py3-none-any.whl
Algorithm	Hash digest
SHA256	`db7996029e1a350465d97b67b8ae44a3c544c87912957afdf79af5e86bb89a29`
MD5	`50580c07aa18000d4c4a9e6c2d5fe599`
BLAKE2b-256	`b688014e31e63d6921f8c36c887b33c797f5149ebe43a0b6ac4395c194e31205`