Serendipity
cb0195135e
添加完整的强化学习项目报告，包含 LaTeX 源文件、生成的 PDF 文档以及训练过程的可视化图表。主要新增内容包括： - 完整的项目报告（report.tex 和 report.pdf），详细说明 DQN 算法在 Atari Space Invaders 游戏上的实现与实验结果 - 训练曲线、epsilon 衰减曲线和评估结果的可视化图表（PNG 格式） - 更新 generate_plots.py 脚本，改进代码格式和错误处理，支持更灵活的参数配置 - 添加训练好的最佳模型文件（dqn_best.pt）和项目源代码压缩包 - 包含 LaTeX 编译生成的辅助文件（.aux, .log） 这些文件构成了完整的项目交付物，便于复现实验结果和展示项目成果。
43 lines
4.6 KiB
TeX
43 lines
4.6 KiB
TeX
\relax
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\providecommand\hyper@newdestlabel[2]{}
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\providecommand\HyField@AuxAddToFields[1]{}
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\providecommand\HyField@AuxAddToCoFields[2]{}
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\@writefile{toc}{\contentsline {section}{\numberline {1}Introduction}{1}{section.1}\protected@file@percent }
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\@writefile{toc}{\contentsline {subsection}{\numberline {1.1}Game Selection and Challenges}{1}{subsection.1.1}\protected@file@percent }
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\@writefile{toc}{\contentsline {subsection}{\numberline {1.2}Motivation}{1}{subsection.1.2}\protected@file@percent }
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\@writefile{toc}{\contentsline {subsection}{\numberline {2.2}Algorithm Comparison}{2}{subsection.2.2}\protected@file@percent }
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\@writefile{lot}{\contentsline {table}{\numberline {1}{\ignorespaces Comparison of reinforcement learning algorithms}}{2}{table.caption.1}\protected@file@percent }
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\providecommand*\caption@xref[2]{\@setref\relax\@undefined{#1}}
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\newlabel{tab:algorithm_comparison}{{1}{2}{Comparison of reinforcement learning algorithms}{table.caption.1}{}}
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\newlabel{tab:hyperparameters}{{3}{4}{Training hyperparameters}{table.caption.3}{}}
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\@writefile{toc}{\contentsline {section}{\numberline {4}Experimental Results}{4}{section.4}\protected@file@percent }
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\@writefile{toc}{\contentsline {subsection}{\numberline {4.1}Training Performance}{4}{subsection.4.1}\protected@file@percent }
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\gdef \@abspage@last{7}
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