Small parallel-decision model with dynamic candidates, a training pipeline, and recorded game comparisons that include shared code planning.
Read Chinese translation
小型并行决策模型，支持动态候选项、训练流水线；已记录的游戏对比包含共享的代码规划逻辑。
These projects explore Jev-like interfaces or open implementations. They are independent efforts, not official TypeSafe releases or verified reproductions of its proprietary architecture, RLCD training, or calibration.
Directory and research sources
Provenance is retained from the previous edition. This edition did not install or re-audit the project.
cobanov/awesome-jev →Pinned source evidence: README.md →Pinned source evidence: train_toy_decisions.py →