DeepRacer workshop content. This Guidance demonstrates how software developers can use an Amazon SageMaker Notebook instance to directly train and evaluate AWS DeepRacer models with full control
Analyze the reward distribution for your reward function
because Kumo Torakku has negative y values, I shamelessly took
RichardFan's modificationg for plot_track and refactored it to offer an x_shift and y_shift
They may not apply to other tracks. You will need to change it in the future. Simply add parameters:
track_size=(700,1000), y_shift=300
track = la.plot_track(df, l_center_line, l_inner_border, l_outer_border)
plt.title("Reward distribution for all actions ")
im = plt.imshow(track, cmap='hot', interpolation='bilinear', origin="lower")
I found problem when unquote the track_size line.
It pop up an error
File "<ipython-input-36-3595092372fb>", line 4
track_size=(700,1000), y_shift=300
^
SyntaxError: can't assign to literal
Analyze the reward distribution for your reward function
I found problem when unquote the track_size line. It pop up an error
Hopefully someone can help to fix it. Thanks!