hijkzzz / Reinforcement Learning Wechat Jump
Reinforcement Learning for WeChat Jump
Stars: ✭ 85
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Deep Reinforcement Learning Wechat Jump
End-to-end training Wechat-Jump AI using DDPG algorithm
Environment
- PyTorch
- PyOpenCV
- Android Device(1920 * 1080)
- ADB Tools
Detail
- Using screenshot as neural network input
- The
actoruses tanh as the activation function -
Criticuses a linear layer to output Q values - Noise is a normal distribution with a
std=0.2 - Get game state with template matching of OpenCV
Train
python train.py
Infer
python infer.py
Reference
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