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Copy pathcut-config.yaml
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62 lines (60 loc) · 1.44 KB
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rewards:
baseline.ObjectRewardRequiredEventsMapIds:
reward:
cut_coords:
carbs.utils.LinearSpace:
min: 1.0e-3
max: 10.0
scale: 0.01
exploration:
carbs.utils.LogSpace:
min: 1.0e-3
max: 1.0
scale: 0.01
explore_signs:
carbs.utils.LogSpace:
min: 1.0e-4
max: 1.0
scale: 1e-3
explore_warps:
carbs.utils.LogSpace:
min: 1.0e-3
max: 10.0
scale: 0.005
obtained_move_ids:
carbs.utils.LogSpace:
min: 1.0e-3
max: 10.0
scale: 1.0
required_item:
carbs.utils.LogSpace:
min: 1.0e-3
max: 10.0
scale: 1.0
use_surf:
carbs.utils.LogSpace:
min: 1.0e-3
max: 2.0
scale: 0.25
# policies:
# multi_convolutional.MultiConvolutionalPolicy:
# policy:
# hidden_size:
# carbs.utils.LinearSpace:
# min: 512
# max: 1024
# is_integer: True
# rnn:
# # Assumed to be in the same module as the policy
# name: MultiConvolutionalRNN
# args:
# input_size:
# carbs.utils.LinearSpace:
# min: 512
# max: 2048
# is_integer: True
# hidden_size:
# carbs.utils.LinearSpace:
# min: 512
# max: 2048
# is_integer: True