Towards an Experimentation Platform for Hybrid Human-AI Sequential Decision-Making

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Hüseyin Aydin, Kevin Godin-Dubois, Libio Goncalvez Braz, Floris den Hengst, Kim Baraka, Mustafa Mert Çelikok, Andreas Sauter, Shihan Wang, Frans A. Oliehoek

Published: 2025, Last Modified: 17 Mar 2026HHAI 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: We present SHARPIE (Shared Human-AI Reinforcement Learning Platform for Interactive Experiments), a generic framework to support experiments with RL agents and humans. It consists of a versatile wrapper for RL environments and algorithm libraries, a participant-facing web interface, logging utilities, and deployment on popular cloud and participant recruitment platforms. It empowers researchers to study a wide variety of research questions related to the interaction between humans and RL agents and aims to standardize the field of study on RL in human contexts.