Welcome to APReL’s documentation!

APReL is a unified Python3 library for active preference-based reward learning methods. It offers a modular framework for experimenting with and implementing preference-based reward learning techniques; which include active querying, multimodal learning, and batch generation methods.

Not sure what preference-based learning means? Read on or check our video for a simple example.

Indices and tables