Double-Deep-Q-Learning-for-Resource-Allocation
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Engineer1999
Question about code for broadcasting scenario.
Hello，thanks to your modification code. I already read the article and found that this model can be applied to both unicast and broadcast scenarios. But when I see this code, I can't find code line for broadcasting scenarios. Do you have any idea of this question?
Hey @BM-Kim, I have use this code to reproduce the results of unicast. To the best of knowledge, this code only supports the unicast scenario.
I see... I have no choice but to contact the author.
Thanks for your replying!
kbzoo0141님의블로그 자기소개가없습니다.
-----Original Message----- From: "Bhargav Patel"[email protected] To: "Engineer1999/Double-Deep-Q-Learning-for-Resource-Allocation"Double-Deep-Q-Learning-for-Resource-Allocation@noreply.github.com; Cc: "BM-Kim"[email protected]; "Mention"[email protected]; Sent: 2020-04-20 (월) 22:27:58 (GMT+09:00) Subject: Re: [Engineer1999/Double-Deep-Q-Learning-for-Resource-Allocation] Question about code for broadcasting scenario. (#2)
Hey @BM-Kim, I have use this code to reproduce the results of unicast. To the best of knowledge, this code only supports the unicast scenario. — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub, or unsubscribe.
@BM-Kim Hello, I’m also interested of how the code implementation of broadcast scenario. Do you get some reply after contact the author Hao Ye ?
Hello, I adjusted the number of vehicles, but it reported an error. Is the number of vehicles adjusted in the position of environment initialization?
