This reference app is a simple board game (called 'Plane Strike') in which you play against an agent trained by reinforcement learning. The agent runs the reinforcement learning model on-device using TFLite.

The game rule for Plane Strike is very simple. It is a turn-based board game and is very similar to the Battleship game. The only difference is that Battleship allows you to place battleships (2–5 cells in a row or a column as 'battleships'); you can place multple ships. Plane Strike instead allows you to place a ‘plane’ on the board at the beginning of the game. In the animation we can see 2 boards (the top one is the agent's board and the bottom one is yours), each of which has a plane on the board. Of course you have no visibility on the agent’s plane location when the game starts. In a live game, the agent’s plane is hidden at the beginning; you need to guess out all the plane cells before the agent does to your plane cells. Whoever finds out all of the opponent's plane cells first wins. Then the game restarts.

At the beginning of the game, the app will randomly place the planes for the agent and the player. You can see the plane as 8 blue cells in your board. If you are not happy with the placement, just reset the game so that the plane placement will be changed.

During the gameplay, if you, as the player, tap a cell in the agent's board at the top, and that cell turns out to be a 'plane cell', that cell will turn red (think of this action as a hit); if it's not a 'plane cell', the cell will turn yellow as a miss. The app also tracks the number of hits of both boards so that you can a quick idea of the game progress.

• Android Studio 4.2 or above (installed on a Linux, Mac or Windows machine)
• An Android device, or an Android Emulator

Clone the TensorFlow examples GitHub repository to your computer to get the demo application.

git clone https://github.com/tensorflow/examples

Open the TensorFlow source code in Android Studio. To do this, open Android Studio and select Import Projects (Gradle, Eclipse ADT, etc.), setting the folder to examples/lite/examples/reinforcement_learning/android

Connect the Android device to the computer and be sure to approve any ADB permission prompts that appear on your phone. Select Run -> Run app. Select the deployment target in the connected devices to the device on which the app will be installed. This will install the app on the device.

To test the app, open the app called Reinforcement Learning on your device. Re-installing the app may require you to uninstall the previous installations.