Task Termination Method for Image-Based Intelligent Agents
Author Information
Author(s): Jie Sheng, Huang Xing, Jing Chengxi, Jiang Xian, Dong Ligang
Primary Institution: Zhejiang Gongshang University
Hypothesis
Can a similarity-based task timely termination method improve the efficiency of image-based intelligent agents?
Conclusion
The proposed method effectively reduces unnecessary resource consumption and improves task completion efficiency for image-based intelligent agents.
Supporting Evidence
- The method reduced the average number of steps to complete tasks by 1.94 steps.
- Time costs decreased by 44.1% with the new method.
- Token costs were reduced by 47.3% when using the method.
Takeaway
This study shows a way for smart agents to finish their tasks faster and use less energy by checking if they really completed their work.
Methodology
The study involved a similarity-based method to determine task completion by comparing images of task states.
Limitations
The method may incur additional computational costs for tasks with many execution steps.
Statistical Information
P-Value
<0.05
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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