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Merged
donghaiwang merged 22 commits into from
Dec 14, 2025
Merged

提供gpu检测教程 #3184

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5289d21
debug
GODDDDD22311 Nov 18, 2025
497880f
智能体优化
GODDDDD22311 Dec 11, 2025
3ce9a4e
删除旧的代码文件
GODDDDD22311 Dec 11, 2025
2e668ef
训练入口
GODDDDD22311 Dec 11, 2025
3abe2ee
删除旧文件
GODDDDD22311 Dec 11, 2025
341aae6
训练日志
GODDDDD22311 Dec 11, 2025
143b1da
不跟踪logs目录
GODDDDD22311 Dec 11, 2025
8a9552a
为 DQN 训练添加实时奖励曲线 Figure 展示
GODDDDD22311 Dec 12, 2025
16793f7
为 DQN 训练添加实时奖励曲线 Figure 展示
GODDDDD22311 Dec 12, 2025
7362bf4
增加DQN 评估流程
GODDDDD22311 Dec 12, 2025
47ab2d2
相对路径
GODDDDD22311 Dec 12, 2025
688d91d
添加了一些使用说明
GODDDDD22311 Dec 12, 2025
f968c0d
dqn最终权重模型
GODDDDD22311 Dec 12, 2025
ee3a4f9
Add configs, training and rewardline image
GODDDDD22311 Dec 12, 2025
01910ee
权重模型和使用说明
GODDDDD22311 Dec 12, 2025
a7d1028
移除权重文件DQN.pt（改为提供下载链接）
GODDDDD22311 Dec 12, 2025
52ef8a7
delete
GODDDDD22311 Dec 12, 2025
6850c4c
Remove training directory
GODDDDD22311 Dec 13, 2025
418b403
使用方法
GODDDDD22311 Dec 13, 2025
8216d9e
补充
GODDDDD22311 Dec 13, 2025
93c044b
gpu的检测中端指令
GODDDDD22311 Dec 13, 2025
d9b1463
Buchong
GODDDDD22311 Dec 13, 2025
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6 changes: 4 additions & 2 deletions src/Car-Racing/README.md
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Expand Up @@ -4,6 +4,8 @@
使用方法，把权重模型文件放在training目录下面的saved_models目录下，eval即可自己调用
2.代码路径需要改成本地的，需要注意
3.下图是运行入口训练代码三个小时的奖励曲线图
4.configs里的文件是训练模型的超参数配置文件，可以改参数
![rewardline](https://raw.githubusercontent.com/GODDDDD22311/assets/main/rewardline.PNG)

4.configs里的文件是训练模型的超参数配置文件，可以改参数
5.注意需要安装cu121(cuda)依赖，即需要启动gpu进行训练，cpu训练可能需要以天为单位进行训练，可以新建终端用gpucheck.txt里的指令查看显存+利用率
下图为指令实图
![gpucheck](https://raw.githubusercontent.com/GODDDDD22311/assets/main/gpucheck.gif)
1 change: 1 addition & 0 deletions src/Car-Racing/gpucheck.txt
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nvidia-smi --query-gpu=timestamp,memory.used,memory.total,utilization.gpu --format=csv -l 1
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