Double-Deep-Q-Learning-for-Resource-Allocation
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Reproduce results of the research article "Deep Reinforcement Learning Based Resource Allocation for V2V Communications"
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 
enquiry
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,...
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...
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. ...
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...