Guandan AI (掼蛋AI)

V8 Model — Best Checkpoint

Architecture

• Input 1: History tensor — LSTM branch
• Input 2: State+Action — MLP branch
• Output: Q-value

State Encoding (716 dims)

• V5 base (714 dims): hand, played cards, history, wild cards, etc.
• M-value (dim 714): min plays to empty hand, normalized /14
• Power (dim 715): count of control cards, normalized /8

Files

• — V8 best (58.5% vs Champion)
• — V7 Human BC (92.6% vs Rule, legacy)

Usage (ONNX Runtime)