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Reproduce results of the research article "Deep Reinforcement Learning Based Resource Allocation for V2V Communications"

Results 14 Double-Deep-Q-Learning-for-Resource-Allocation issues
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First of all, thank you for open source this code, but there are some questions for me,it's ```` def main(_): up_lanes = [3.5/2,3.5/2 + 3.5,250+3.5/2, 250+3.5+3.5/2, 500+3.5/2, 500+3.5+3.5/2] down_lanes =...

Hello. When i run the main code, i get the error message that Flag model has been defined twice. Did anyone experience this and how did you handle it ![image](https://user-images.githubusercontent.com/34668590/111712959-01b25800-8892-11eb-82b8-f474919f6b17.png)

since a vehicle has 3 neighbors,and it needs communicate with 3 neighbors at the same time,why the vehicle can select 3 levels transmission power(in the paper,23dbm,10dbm,5dbm),if 3 links select 23dbm,10dbm,5dbm,respectively,the...

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,...

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Hi,thanks to your latest modification code from haoye‘s. I have a question about V2V and V2I channel https://github.com/Engineer1999/Double-Deep-Q-Learning-for-Resource-Allocation/blob/a567b1f84e2420e92cb01494217cb958983bb8b8/agent.py#L53 https://github.com/Engineer1999/Double-Deep-Q-Learning-for-Resource-Allocation/blob/a567b1f84e2420e92cb01494217cb958983bb8b8/agent.py#L54 As shown above,when calculating V2V_channel and V2I_channel ,the self.env.V2V_channels_with_fastfading and self.env.V2I_channels_with_fastfading...

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Hello ! I am using windows I run this code the code executed completely but did not show any output, kindly guide me what should I do. Thank you. ![main](https://user-images.githubusercontent.com/110652437/210057459-676cab29-b2ee-4fb7-a855-968d69f693a3.PNG)...

Hello! I want to know whether the Probability of satisfied V2V links is same to the Packet Delivery Ratio? I am asked to reach the target that: __When the vehicle...

Hello, I adjusted the number of vehicles, but it reported an error. Is the number of vehicles adjusted in the position of environment initialization?

I want to run agent.py with gpu, but the gpu utilization rate is very low. Gpu can only use 4% - 6%, have you met this problem before? I want...

Traceback File "C:\Users\OYY\Desktop\Double-Deep-Q-Learning-for-Resource-Allocation-master的副本\agent.py", line 362, in play plt.savefig() File "E:\Users\OYY\AppData\Local\Programs\Python\Python37\lib\site-packages\matplotlib\pyplot.py", line 722, in savefig res = fig.savefig(*args, **kwargs) TypeError: savefig() missing 1 required positional argument: 'fname'. I don’t know how...

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