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garlicdevs/Fruit-API
pareto front

how to get the pareto front after training a model, saving it and evaluating?
  • TyrandeWhisperwind
  • 2
  • Opened 
    on Jul 20, 2020
  • #11

garlicdevs/Fruit-API
matplotlib

i have an issue with matplotlib, i couldnt disable Disable Show plots in toolwindow because i coumdt find Python Scientific, is there anything else to do to fix this? im using community version image
  • TyrandeWhisperwind
  • 1
  • Opened 
    on Jul 20, 2020
  • #10

garlicdevs/Fruit-API
FV is not in environment

there is always this error occurring altho i did all the steps correctly image
  • TyrandeWhisperwind
  • 1
  • Opened 
    on Jul 18, 2020
  • #9

garlicdevs/Fruit-API
number of actions that vary

i have a number of actions that varies and get less with each step, does the MODQNLearner takes this in consideration and randoms from the possible actions left in each step? in my engine i m using this ...
  • TyrandeWhisperwind
  • 2
  • Opened 
    on Jul 18, 2020
  • #8

garlicdevs/Fruit-API
Number of output and input in layer of networks

hello, wanted to ask u if possible, why did u choose this number of input and output in the layers? layer_1 = self.layer_manager.create_conv_layer(self.tf_inputs_norm, 32, 8, strides=4, activation_fn= ...
  • TyrandeWhisperwind
  • 3
  • Opened 
    on Jul 16, 2020
  • #7

garlicdevs/Fruit-API
what is reward_clip_thresholds??

i would like to know please, what is reward_clip_thresholds? and why it is set to None in MODQNLearner(DQNLearner)? also do u have the algorithm to share with us of the MODQNLearner, so we can understand ...
  • TyrandeWhisperwind
  • 8
  • Opened 
    on Jul 15, 2020
  • #6
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