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.
- aprel package
- aprel.assessing package
- aprel.basics package
- aprel.learning package
- aprel.querying package
- aprel.utils package