| Title: |
Towards an Experimentation Platform for Hybrid Human-AI Sequential Decision-Making |
| Authors: |
Aydin, Hüseyin; Godin-Dubois, Kevin; Goncalvez Braz, Libio; Den Hengst, Floris; Baraka, Kim; Çelikok, Mustafa Mert; Sauter, Andreas; Wang, Shihan; Oliehoek, Frans A.; Sub Responsible AI; Sub Intelligent Systems; Pedreschi, Dino; Milano, Michela; Tiddi, Ilaria; Russell, Stuart; Boldrini, Chiara; Pappalardo, Luca; Passerini, Andrea; Wang, Shenghui |
| Publication Year: |
2025 |
| Subject Terms: |
experimentation; hybrid AI; reinforcement learning; software; Artificial Intelligence |
| Description: |
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. |
| Document Type: |
book part |
| File Description: |
application/pdf |
| Language: |
English |
| ISSN: |
0922-6389 |
| Relation: |
https://dspace.library.uu.nl/handle/1874/483215 |
| Availability: |
https://dspace.library.uu.nl/handle/1874/483215 |
| Rights: |
info:eu-repo/semantics/OpenAccess |
| Accession Number: |
edsbas.717999ED |
| Database: |
BASE |