Deep-QLearning-Agent-for-Traffic-Signal-Control
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AndreaVidali
A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.
Usually, the Q Network is trained while the parameters of target network are fixed. And every certain steps, the parameters of Q Network will be copied to Target Network. But...
Mi potresti dire come faccio a paragonare il caso di un semaforo statico con quello dove applico il deep q learning? e avere dei grafici di paragone.
Hello, It seems like SUMO's latest release is 1.13.0 but you mention 1.2.0 and TraCI is the same. Could you please specify the versions of the package, please? Additionally, python...
Hello Could you upload your master thesis? I'm new to DQN so I want to understand more about the algorithm you use Thank you very much Could you explain more...
Reward
Reward is sum of cumulative wait time, right? How it is going negative in the graph(after running testing_main.py)? 
when I test，but fail. the problem show“The model number specified does not exist in the models folder” can you help me solve it?
Hi, Just stumbled upon your work yesterday, it provides a very nice starting point for my DQN experiments with SUMO. A small suggestion (if you care about maintaining this project)...
Can you tell me what data are recorded in the H5 file generated. Thank you
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A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.