google-deepmind/android_env

Health v2 · maintenance only

Adoption not part of the score

1240 stars · 119 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

AndroidEnv is a Python library from DeepMind that exposes an Android device (real or emulated) as a Reinforcement Learning environment. Agents interact via a universal touchscreen action interface and receive pixel observations and task-defined rewards.

Use cases

• train RL agents to control an Android device
• define custom RL tasks on top of Android apps
• research GUI/screen-based agent learning
• benchmark agents on real-world mobile tasks
• set up a virtual Android device for RL experiments
• train agents to play Android games via touch events

When to choose

• you need an RL environment grounded in a real mobile OS
• you want to train agents that interact via touch gestures
• you need pixel-based observations with configurable task rewards
• you're doing DeepMind-style RL research on Android

When to avoid

• you need a simple desktop or web RL environment
• you want lightweight unit testing of mobile apps rather than RL training
• you can't run an Android emulator or device in your setup
• you need iOS or cross-platform mobile RL

Facets

library · maturity active

reinforcement-learning simulation machine-learning reinforcement-learning android-tools artificial-intelligence machine-learning python rl-environment gym-environment android-emulator deepmind agent-training touchscreen-control android linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="google-deepmind/android_env")