Summary of Task Success Is Not Enough: Investigating the Use Of Video-language Models As Behavior Critics For Catching Undesirable Agent Behaviors, by Lin Guan et al.
Task Success is not Enough: Investigating the Use of Video-Language Models as Behavior Critics for Catching Undesirable Agent Behaviors
by Lin Guan, Yifan Zhou, Denis Liu, Yantian Zha, Heni Ben Amor, Subbarao Kambhampati
First submitted to arxiv on: 6 Feb 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Robotics (cs.RO)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary In this paper, researchers explore the application of large-scale generative models as Behavior Critics to identify undesirable behaviors in embodied AI agents. These agents typically focus on achieving specific goals without considering constraints and user preferences. The authors demonstrate that coupling these models with external verifiers can improve their performance. They also propose using vision and language models (VLMs) as scalable Behavior Critics when no sound verifier is available. To evaluate the effectiveness of VLM critics, the researchers construct a benchmark dataset containing diverse cases of goal-reaching yet undesirable robot policies. The results show that VLM critics have strengths and failure modes, which inform guidelines for their effective utilization. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary In this paper, scientists want to help robots be better at doing tasks without hurting people or breaking things. They discovered that big computer models can help by looking at videos of the robots and saying “oh no, you’re being too rough!” The researchers built a special test set with lots of examples of robots doing things wrong, then used these big models to see how well they could spot the mistakes. By studying what the models did right and wrong, they came up with some rules for how people can use these models to make robots better. |
