The official repository of our paper "SmartAgent: Chain-of-User-Thought for Embodied Personalized Agent in Cyber World". We will release code and data upon paper notification.
We formulate COUT to achieve embodied personalized agent training in terms of three stages of thought. In Thought #1, according to a user' s instruction, an agent performs GUI actions to search for an item pool. In Thought #2 with seeing the pool, the agent reasons underlying requirements behind the original instruction, as implied by the previous actions. In Thought #3, based on the underlying thought, the agent recommends items within the pool to complete the user's instruction.
The first environment supports full-stage embodied personalized evaluation.
The capabilities of SmartAgent from basic embodied operations to personalized reasoning.
Two-stage training paradigm of SmartAgent.
Please consider citing our paper and staring this repo if you find SmartAgent helpful in your work, thanks!
@article{zhang2024smartagent,
title={SmartAgent: Chain-of-User-Thought for Embodied Personalized Agent in Cyber World},
author={Jiaqi Zhang and Chen Gao and Liyuan Zhang and Yong Li and Hongzhi Yin},
journal={arXiv preprint arXiv:2412.07472},
year={2024}
}