feat: 添加模型评估脚本并更新实验报告

- 添加 evaluate_checkpoints.py 脚本，用于评估训练过程中的检查点模型
- 更新 generate_plots.py 以支持从真实评估结果生成图表
- 更新实验报告内容，包含具体实验结果数据和分析
- 添加中文支持并更新作者信息
- 生成评估结果JSON文件和相应图表

强化学习个人项目报告（Atari 游戏方向）/evaluation_results.json

@@ -0,0 +1,80 @@
+[
+  {
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+    "step": 100000,
+    "avg_reward": 17.8,
+    "std_reward": 5.2306787322488075
+  },
+  {
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+    "step": 200000,
+    "avg_reward": 14.0,
+    "std_reward": 6.603029607687671
+  },
+  {
+    "model": "models/dqn_step_400000.pt",
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+  },
+  {
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+    "step": 600000,
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+    "std_reward": 4.123105625617661
+  },
+  {
+    "model": "models/dqn_step_800000.pt",
+    "step": 800000,
+    "avg_reward": 13.2,
+    "std_reward": 3.944616584663204
+  },
+  {
+    "model": "models/dqn_step_1000000.pt",
+    "step": 1000000,
+    "avg_reward": 15.7,
+    "std_reward": 4.960846701924985
+  },
+  {
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+    "step": 1200000,
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+    "std_reward": 6.216108107168021
+  },
+  {
+    "model": "models/dqn_step_1400000.pt",
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+  },
+  {
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+    "std_reward": 4.686149805543993
+  },
+  {
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+    "avg_reward": 21.5,
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+  },
+  {
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+    "step": 2000000,
+    "avg_reward": 14.6,
+    "std_reward": 5.276362383309167
+  },
+  {
+    "model": "models/dqn_best.pt",
+    "step": -1,
+    "avg_reward": 19.9,
+    "std_reward": 6.920260110718383
+  },
+  {
+    "model": "models/dqn_final.pt",
+    "step": -2,
+    "avg_reward": 11.3,
+    "std_reward": 3.3778691508109073
+  }
+]