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MLJejuCamp2017 / DRL_based_SelfDrivingCarControl

Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator
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question about project #6

Closed 1moles closed 6 years ago

1moles commented 6 years ago

I'm sorry for disturbing you.I'm a beginner for DRL and interested in your project.I download your project and the simulator.But I don't know how to run it successfully.Hope to get your help.Thank you.

Kyushik commented 6 years ago

Hello. Thanks for having interest in my project! Ask anything about my project. The process of running this project is as follows.

  1. download the github repo
  2. download and unzip the simulator inside environment folder
  3. open ipynb file inside RL_algorithms
  4. run the ipynb file and it's done!

I hope it works well! 😄

Kyushik commented 6 years ago

Oh just download the simulator inside the environment folder! It is already unzipped!

1moles commented 6 years ago

Thanks for answering my questions.There maybe some problems with my environment of this project.I plan to do it according to your method.Do I need to install CUDA and cuDNN?

Kyushik commented 6 years ago

You can run this code with tensorflow either CPU and GPU. However, I recommend you to run this code with GPU, because it takes long time to train this agent.