SforAiDl/genrl
A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL
This library helps machine learning researchers quickly implement, test, and compare different reinforcement learning algorithms. You provide the problem environment and specify an algorithm, and it outputs a trained agent and performance metrics. It's designed for researchers focused on advancing reinforcement learning techniques or applying them to new challenges.
412 stars. No commits in the last 6 months. Available on PyPI.
Use this if you are a reinforcement learning researcher or practitioner who needs to rapidly prototype and benchmark various RL algorithms with reproducible results.
Not ideal if you are looking for a high-level, drag-and-drop solution for existing business problems without needing to dive deep into RL algorithm implementation.
Stars
412
Forks
58
Language
Python
License
MIT
Category
Last pushed
Dec 27, 2022
Commits (30d)
0
Dependencies
22
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