  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.
