Summary of Androidworld: a Dynamic Benchmarking Environment For Autonomous Agents, by Christopher Rawles et al.
AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents
by Christopher Rawles, Sarah Clinckemaillie, Yifan Chang, Jonathan Waltz, Gabrielle Lau, Marybeth Fair, Alice Li, William Bishop, Wei Li, Folawiyo Campbell-Ajala, Daniel Toyama, Robert Berry, Divya Tyamagundlu, Timothy Lillicrap, Oriana Riva
First submitted to arxiv on: 23 May 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Machine Learning (cs.LG)
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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 AndroidWorld is a functional Android environment that enables testing of autonomous agents executing human tasks by controlling computers. The platform provides reward signals for 116 programmatic tasks across 20 real-world Android apps, allowing for realistic and reproducible benchmarks. Unlike existing interactive environments, AndroidWorld constructs tasks dynamically in unlimited ways, enabling testing on a larger suite of tasks. Each task includes dedicated initialization, success-checking, and tear-down logic to modify and inspect the device’s system state. Baseline agents are tested on AndroidWorld, with results showing that the best agent can complete 30.6% of tasks. The study also explores adapting desktop web agents to work on Android, finding them less effective due to mobile-specific challenges. A robustness analysis demonstrates that task variations significantly affect agent performance, highlighting the need for testing to reflect practical challenges. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary AndroidWorld is a new tool that helps computers do things humans can do. It’s like a big test lab where we can see how well computer programs called “agents” work. These agents are trying to learn how to control Android phones and tablets. The problem was, there weren’t any good ways to test these agents. So, the people who made AndroidWorld created a special environment that lets us make lots of different tasks for the agents to try. They tested some basic agent versions and found that they could only do about 30% of the tasks correctly. This means there’s still a lot of work to be done to get these agents good enough. They also tried adapting agents designed for computers to work on Android phones, but it didn’t go well because phone apps are different from computer programs. |
