zuoxingdong/lagom
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
Lagom helps machine learning researchers quickly build and test reinforcement learning algorithms. It takes your definitions of an RL agent and environment, along with experiment configurations, and outputs trained agents and performance metrics. This tool is designed for ML practitioners and researchers who develop and evaluate new reinforcement learning methods.
378 stars. No commits in the last 6 months.
Use this if you need a balanced, modular framework built on PyTorch to rapidly prototype, test, and parallelize your reinforcement learning algorithms.
Not ideal if you prefer a high-level API that abstracts away most of the reinforcement learning algorithm details or if you don't use PyTorch.
Stars
378
Forks
31
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 19, 2022
Commits (30d)
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