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some questions about convergence #5

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RainieLN opened this issue Jan 13, 2024 · 5 comments
Open

some questions about convergence #5

RainieLN opened this issue Jan 13, 2024 · 5 comments

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@RainieLN
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I've run your code, but the results didn't converge. I read your reward function, find that you only consider energy and drop rate? I've tried to modify the rewrd function, but the energy still didn't converge.

@ZhangHaHei
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I hava the same problem !!

@ZhangHaHei
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I've run your code, but the results didn't converge. I read your reward function, find that you only consider energy and drop rate? I've tried to modify the rewrd function, but the energy still didn't converge.

do you hava some better envs for compution offloading in edge computing ?

@weweweeeeeeee
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我已经运行了您的代码,但结果没有收敛。我看了你的奖励函数,发现你只考虑能量和掉落率?我尝试修改 rewrd 函数,但能量仍然没有收敛。

您是否有一些更好的 envs 用于边缘计算中的计算卸载?

请问您找到了吗

@ZhangHaHei
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我已经运行了您的代码,但结果没有收敛。我看了你的奖励函数,发现你只考虑能量和掉落率?我尝试修改 rewrd 函数,但能量仍然没有收敛。

您是否有一些更好的 envs 用于边缘计算中的计算卸载?

请问您找到了吗

没有,根本找不到,哈哈,最后换了方向

Repository owner deleted a comment from RHTI1194 Oct 27, 2024
@ImanRHT
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ImanRHT commented Dec 30, 2024

Thank you for your patience. I have successfully addressed the bugs that were causing the convergence issues. After making the necessary adjustments, the algorithm now converges as expected. The new version of the QECO algorithm is now available and should work perfectly. QECO

Please give it another try, and feel free to share any feedback or insights you may have. I look forward to hearing your thoughts.

@RainieLN @ZhangHaHei @weweweeeeeeee

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