UbuntuWorld 1.0 LTS - A Platform for Automated Problem Solving & Troubleshooting in the Ubuntu OS
This provides a test bed for automated technical support research in Ubuntu, but it is incremental as it builds on existing reinforcement learning methods applied to a new domain-specific environment.
The paper tackles the problem of automated technical support in Ubuntu by introducing UbuntuWorld 1.0 LTS, a platform that uses a Bash terminal simulator and reinforcement learning for basic troubleshooting, showing that integrating data from online forums significantly improves the agent's learning efficiency.
In this paper, we present UbuntuWorld 1.0 LTS - a platform for developing automated technical support agents in the Ubuntu operating system. Specifically, we propose to use the Bash terminal as a simulator of the Ubuntu environment for a learning-based agent and demonstrate the usefulness of adopting reinforcement learning (RL) techniques for basic problem solving and troubleshooting in this environment. We provide a plug-and-play interface to the simulator as a python package where different types of agents can be plugged in and evaluated, and provide pathways for integrating data from online support forums like AskUbuntu into an automated agent's learning process. Finally, we show that the use of this data significantly improves the agent's learning efficiency. We believe that this platform can be adopted as a real-world test bed for research on automated technical support.