This project implements an RL agent that learns to play the mobile MOBA game Honor of Kings through policy gradient training. It uses a convolutional neural network to process game screen captures (via scrcpy) and evaluate reward states to guide policy updates. The agent interacts with the game through pyminitouch, sending touch commands to the Android device. A GPU (GTX 1060 or higher) is required for training.