andywu0913 / openai-gym-carracing-dqn Goto Github PK
View Code? Open in Web Editor NEWTrain a DQN Agent to play CarRacing 2d using TensorFlow and Keras.
Train a DQN Agent to play CarRacing 2d using TensorFlow and Keras.
Hello. Congratulations on the development of DQN.
I am an engineering student and would like to do your coding.
I'm having trouble running play_car_racing_by_the_model.py
I am not understanding the parameters to initialize the code:
play_car_racing_by_the_model.py [-h] -m 'save / trial_300.h5' [-e 1]
-m is a string? I am putting the save folder path though it is giving invalid syntax.
Please, could you help me ??
when I run "python play_car_racing_with_keyboard.py", it freshed a window then closed, jump out this error
Env: macos big sur
PkgResourcesDeprecationWarning: Parameters to load are deprecated. Call .resolve and .require separately.
result = entry_point.load(False)
Track generation: 1165..1460 -> 295-tiles track
Traceback (most recent call last):
File "play_car_racing_with_keyboard.py", line 91, in
state = env.reset()
File "/Users/steveniiv/config/anaconda3/envs/DRL/lib/python3.7/site-packages/gym/core.py", line 104, in reset
return self._reset()
File "/Users/steveniiv/config/anaconda3/envs/DRL/lib/python3.7/site-packages/gym/wrappers/time_limit.py", line 49, in _reset
return self.env.reset()
File "/Users/steveniiv/config/anaconda3/envs/DRL/lib/python3.7/site-packages/gym/core.py", line 104, in reset
return self._reset()
File "/Users/steveniiv/config/anaconda3/envs/DRL/lib/python3.7/site-packages/gym/envs/box2d/car_racing.py", line 292, in _reset
return self._step(None)[0]
File "/Users/steveniiv/config/anaconda3/envs/DRL/lib/python3.7/site-packages/gym/envs/box2d/car_racing.py", line 304, in _step
self.state = self._render("state_pixels")
File "/Users/steveniiv/config/anaconda3/envs/DRL/lib/python3.7/site-packages/gym/envs/box2d/car_racing.py", line 380, in _render
arr = np.fromstring(image_data.data, dtype=np.uint8, sep='')
AttributeError: 'ImageData' object has no attribute 'data'
This is really awesome work! Can you possibly add either a pip
requirements.txt
file or a conda
environment.yml
file with the dependencies and version numbers you used so that I can more easily replicate your work?
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