feat: 添加强化学习项目报告及重构课程作业报告代码结构

- 新增强化学习个人项目报告，包含基于PyTorch从零实现的PPO算法
- 重构课程作业报告代码结构，提取运行时路径管理和notebook执行逻辑到独立模块
- 更新依赖文件requirements.txt，添加强化学习相关依赖
- 简化模型比较结果表格，仅保留基线逻辑回归模型数据

强化学习个人课程作业报告/run_notebook.py

@@ -1,16 +1,19 @@
-"""
-运行 insurance_premium_risk.ipynb 的脚本
-将 notebook 代码单元格提取出来逐个执行
-"""
-import json, sys, os, warnings, traceback, time
+import warnings
 
-warnings.filterwarnings('ignore')
+warnings.filterwarnings("ignore")
 
 import matplotlib
-matplotlib.use('Agg')
+
+matplotlib.use("Agg")
 import matplotlib.pyplot as _real_mpl_plt
+
 _real_mpl_plt.show = lambda *a, **kw: None
 
+import os
+import sys
+import time
+import json
+import traceback
 import numpy as np
 import pandas as pd
 import matplotlib.pyplot as plt
@@ -32,34 +35,18 @@ import xgboost as xgb
 import optuna
 optuna.logging.set_verbosity(optuna.logging.WARNING)
 
-RANDOM_STATE = 42
-np.random.seed(RANDOM_STATE)
-plt.rcParams['figure.figsize'] = (10, 6)
-plt.rcParams['font.size'] = 12
-sns.set_style('whitegrid')
+from src.notebook_runner import execute_notebook
+from src.runtime_paths import build_paths
 
-# ===== 读取 notebook =====
-nb_path = r'd:\Code\doing_exercises\programs\外教作业外快\强化学习个人课程作业报告\notebooks\insurance_premium_risk.ipynb'
-cells = json.load(open(nb_path, encoding='utf-8'))['cells']
-code_cells = [c for c in cells if c['cell_type'] == 'code']
-print(f"Total code cells: {len(code_cells)}")
+paths = build_paths()
+print(f"Project root : {paths.project_root}")
+print(f"Notebook     : {paths.notebook}")
+print(f"Data dir     : {paths.data_dir}")
+print(f"Output dir   : {paths.output_dir}")
 
-# ===== 执行每个单元格 =====
-# 使用全局 __main__ 命名空间，变量跨单元格持久化
-main_ns = globals().copy()
+ns = vars()
 
-for i, cell in enumerate(code_cells):
-    src = ''.join(cell['source'])
-    print(f"\n{'='*60}")
-    print(f"Running cell {i+1}/{len(code_cells)}...")
-    print(f"  Source: {src[:80].replace(chr(10), ' ')}")
-    try:
-        exec(compile(src, f'cell_{i+1}', 'exec'), main_ns)
-    except Exception as e:
-        print(f"ERROR in cell {i+1}: {e}")
-        traceback.print_exc()
-        print("Stopping execution.")
-        break
-
-print("\n\nAll cells executed successfully!")
-print(f"Results saved to: outputs/figures/ and outputs/tables/")
+result = execute_notebook(namespace=ns)
+print(f"\nExecution finished: {result['status']}")
+print(f"Cells run: {len([c for c in result['cells'] if c['status'] == 'ok'])}/{result['total']}")
+print(f"Output dir: {result['outputs']['output_dir']}")