Comments (2)
Hey lvlvlvlvlv,
Yes the steering is mostly small.
I think for your case, the trick is to balance the data. Make sure that every minibatch covers a good range of steering values. Other potential problems:
Regularization, if it is too big it wont converge.
Optimizer, i used adam optimizer ( Not ideal , but should maybe help in your case)
Mini Batch size. Are you using a reasonably big one ? I was using 120 for training.
Cheers.
from imitation-learning.
@felipecode Thanks for your tips. I am trying them.
By the way, are you training the model to learn target as a continuous-value regression problem or a classification problem? Is the regression problem more difficult to find suitable params? I am thinking if there are any ways to divide the steer value into several range and turn it into a classification problem.
from imitation-learning.
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from imitation-learning.