CREW: Platform for Human-AI Teaming

Introduction

CREW is a platform designed to facilitate Human-AI teaming research, engage collaborations from multiple scientific disciplines, with a strong emphasis on human involvement. It includes pre-built tasks for cognitive studies and Human-AI teaming with expandable potentials from our modular design. Following conventional cognitive neuroscience research, CREW also supports multimodal human physiological signal recording for behavior analysis. Moreover, CREW benchmarks real-time human-guided reinforcement learning agents using state-of-the-art algorithms and well-tuned baselines.

To get started, check out Getting Started for basic examples and Tutorials for advanced usage.

Algorithms, on the other hand, is a Python package aimed at researchers who wish to create AI agents capable of operating and collaborating with humans within the environments established by Dojo. Offering an intuitive interface, Algorithms ensures maximum flexibility and customizability for the researchers.

By working in unison, these two subcomponents create a robust and user-friendly platform for the development of interactive experiences.