DeepMind, Google's artificial intelligence subsidiary, has announced the development of its new AndroidEnvtool, an open source reinforcement learning (RL) platform for the Android ecosystem. It allows RL models to interact with a wide variety of applications and services that Android users use on a daily basis thanks to an adapted interface. AndroidEnv is a tool designed by DeepMind to enable reinforcement learning agents to interact with a wide range of applications and services offered by Google. The deployed agents learn to interact with mobile applications based, unlike Deep Learning, on learning from the agent's own experience. The agents interact with the applications by using the applications as humans would: tapping, finger swiping are simulated.

We introduce AndroidEnv, an open-source platform for Reinforcement Learning (RL) research built on top of the Android ecosystem. AndroidEnv allows RL agents to interact with a wide variety of apps and services commonly used by humans through a universal touchscreen interface. Since agents train on a realistic simulation of an Android device, they have the potential to be deployed on real devices. In this report, we give an overview of the environment, highlighting the significant features it provides for research, and we present an empirical evaluation of some popular reinforcement learning agents on a set of tasks built on this platform.