Question about code for broadcasting scenario.
Opened this issue · 5 comments
BM-Kim commented
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?
Engineer1999 commented
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.
BM-Kim commented
I see...
I have no choice but to contact the author.
Thanks for your replying!
kbzoo0141님의블로그
자기소개가없습니다.
…-----Original Message-----
From: "Bhargav Patel"<notifications@github.com>
To: "Engineer1999/Double-Deep-Q-Learning-for-Resource-Allocation"<Double-Deep-Q-Learning-for-Resource-Allocation@noreply.github.com>;
Cc: "BM-Kim"<kbzoo0141@naver.com>; "Mention"<mention@noreply.github.com>;
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.
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xiangli-bjtu commented
@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 ?
1219-wangjindong commented
Hello, I adjusted the number of vehicles, but it reported an error. Is the number of vehicles adjusted in the position of environment initialization?