File	Description
`best_model.pt`	PyTorch checkpoint (weights + vocab + config)
`vocab.json`	Card vocabulary
`report.json`	Full training report
`training_stages.json`	Per-epoch curves

Usage

Battles: 22,554 total (train 15,788 / val 3,383 / test 3,383)
Train samples: 480,032 action prefixes
Created: 2026-08-08

bash

pip install git+https://github.com/cochon123/clash-royale-ai.git
hf download Cochon123/clash-royale-policy-bc-v4 --local-dir models/policy_bc_v4

cr-replays predict-policy data/raw/SOME_BATTLE.json --model-dir models/policy_bc_v4
cr-replays phone-lab --policy-v4 models/policy_bc_v4

Limits

Offline metrics are strong on slot choice; placement XY and live tempo are still weak relative to humans. Treat live phone play as an evaluation harness, not a finished agent.