DRL_based_SelfDrivingCarControl
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MLJejuCamp2017
Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator
Hi , I am trying to run your code through jupyter notebook connecting from anaconda prompt by the method you described earlier like unzipping etc. getting few issues like: ---------------------------------------------------------------------------...
Hi, congratulate won the camp, and the paper was accepted to iv 2018! In the `README.md` , you have mentioned " I used lots of vehicle sensors(e.g. RADAR, LIDAR, ...)...
thank for your code.when i run the ipynb, it remember me __init__() got an unexpected keyword argument 'file' ,can you tell me how to resolve
hello，Can you help me solve this problem?Thanks very much. I really don't know where this path（D:\Github\ML_Agent_Jeju_Simulator\ML_Agent_Jejucamp2017\Assets\Scripts） comes from. SocketException: Unable to connect because the target computer actively refused. at System.Net.Sockets.Socket.Connect...
Environment details Windows 10 Unity version - 2017.3.0f3 Steps 1. downloaded the simulator from here: https://www.dropbox.com/s/33iscinb81n2uue/ADAS_Windows.zip?dl=0) 2. Copied UnityPlayer.dll in the exe folder. (After it complained could not load UnityPLayer.dll)...
Which ipynb file shoud we run in ml algorithms folder?? sry.. i am a beginner
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Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator