ppo-design-principles
Skill1 starsChanged 3 months agoNo licenceView on GitHub
用"可扩展性优先"的六条设计原则来设计或评审 PPO 强化学习训练方案（环境、行动空间、观测/特征、模型、奖励、对手），并给出训练稳定化的实践技巧（BC 初始化、Net2Net、batch/env 数、ref KL、熵）。适用于 Kaggle 模拟赛、对战类游戏 AI、自博弈（self-play）、卡牌/棋盘/回合制游戏 agent 等场景，完全信息与不完全信息博弈（隐藏手牌、战争迷雾等）都适用。当用户提到 PPO、self-play、强化学习 agent 设计、训练不收敛/策略崩溃/熵崩溃、"环境太慢 GPU 在等"、"要不要加辅助奖励"、"行动空间怎么设计"、"用什么模型结构"时，即使没有明确说"设计原则"也要使用本 skill。
In this repository4 other files it gives its agents.
- commit-writingSkill
- pnpm-monorepo-trusted-publishingSkill
- pr-writingSkill
- readme-writingSkill
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