google-deepmind/android_env
A Python library that exposes Android devices as reinforcement learning environments for training agents to perform tasks via touchscreen interaction.
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AndroidEnv provides a flexible platform for defining custom RL tasks on top of the Android operating system. Agents interact with the device through a universal action interface, sending localized touch and lift events, while the system returns pixel observations and rewards as defined by task specifications. It enables research into training RL agents to complete real-world tasks on mobile devices.
Frequently asked
- What is google-deepmind/android_env?
- A Python library that exposes Android devices as reinforcement learning environments for training agents to perform tasks via touchscreen interaction.
- Is android_env open source?
- Yes — google-deepmind/android_env is open source, released under the Apache-2.0 license.
- What language is android_env written in?
- google-deepmind/android_env is primarily written in Python.
- How popular is android_env?
- google-deepmind/android_env has 1.2k stars on GitHub.
- Where can I find android_env?
- google-deepmind/android_env is on GitHub at https://github.com/google-deepmind/android_env.