code-refactor / code-refactor/minicode
RL training
未关闭
enhancement
exploratory
- 主要语言
- Python
- 星标
- 9
- 派生
- 0
- PR 合并指标
- 30 天内没有已合并 PR
描述
Longer term, we need to run RL experiments on minimization. This will require two things: 1. a good base policy 2. good RL code. We have to wait a bit for both.
贡献指南
这个仓库没有索引到贡献指南
调研方向
The issue names no files, tests, or entry points. First clarify the minimization experiments, the required base policy, and the intended RL scope; then identify where training code should live. Done should be defined by an agreed experiment plan and measurable results.
由索引模型根据 Issue 内容生成。
评估
- 技术栈
- python
- 领域
- machine-learning
- Issue 类型
- 功能
- 难度
- 5/5
- 预计耗时
- 一周以上
- 活跃度
- 停滞
- 描述清晰度
- 需要澄清
- 新手友好度
- 15/100