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fix mass 3dball

/develop/bisim-sac-transfer
yanchaosun 4 年前
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4a23dbb3
共有 5 个文件被更改,包括 20 次插入50 次删除
  1. 14
      config/sac_transfer/3DBallMassTransferCloud.yaml
  2. 14
      config/sac_transfer/3DBallMassTransferCloud1.yaml
  3. 14
      config/sac_transfer/3DBallMassTransferCloud2.yaml
  4. 14
      config/sac_transfer/3DBallMassTransferCloud3.yaml
  5. 14
      config/sac_transfer/3DBallMassTransferCloud4.yaml

14
config/sac_transfer/3DBallMassTransferCloud.yaml


hyperparameters:
learning_rate: 0.0003
learning_rate_schedule: linear
batch_size: 256
model_schedule: linear
batch_size: 64
init_entcoef: 1.0
init_entcoef: 0.5
reward_signal_steps_per_update: 10.0
encoder_layers: 2
policy_layers: 0

action_feature_size: 32
# separate_value_net: true
separate_policy_train: true
separate_model_train: true
separate_model_train: true
reuse_encoder: true
in_epoch_alter: false
in_batch_alter: true

time_horizon: 1000
summary_freq: 12000
threaded: true
# parameter_randomization:
# mass:
# sampler_type: uniform
# sampler_parameters:
# min_value: 2.0
# max_value: 2.0

14
config/sac_transfer/3DBallMassTransferCloud1.yaml


hyperparameters:
learning_rate: 0.0003
learning_rate_schedule: linear
batch_size: 256
model_schedule: linear
batch_size: 64
init_entcoef: 1.0
init_entcoef: 0.5
reward_signal_steps_per_update: 10.0
encoder_layers: 2
policy_layers: 0

action_feature_size: 32
# separate_value_net: true
separate_policy_train: true
separate_model_train: true
separate_model_train: true
reuse_encoder: true
in_epoch_alter: false
in_batch_alter: true

time_horizon: 1000
summary_freq: 12000
threaded: true
# parameter_randomization:
# mass:
# sampler_type: uniform
# sampler_parameters:
# min_value: 2.0
# max_value: 2.0

14
config/sac_transfer/3DBallMassTransferCloud2.yaml


hyperparameters:
learning_rate: 0.0003
learning_rate_schedule: linear
batch_size: 256
model_schedule: linear
batch_size: 64
init_entcoef: 1.0
init_entcoef: 0.5
reward_signal_steps_per_update: 10.0
encoder_layers: 2
policy_layers: 0

action_feature_size: 32
# separate_value_net: true
separate_policy_train: true
separate_model_train: true
separate_model_train: true
reuse_encoder: true
in_epoch_alter: false
in_batch_alter: true

time_horizon: 1000
summary_freq: 12000
threaded: true
# parameter_randomization:
# mass:
# sampler_type: uniform
# sampler_parameters:
# min_value: 2.0
# max_value: 2.0

14
config/sac_transfer/3DBallMassTransferCloud3.yaml


hyperparameters:
learning_rate: 0.0003
learning_rate_schedule: linear
batch_size: 256
model_schedule: linear
batch_size: 64
init_entcoef: 1.0
init_entcoef: 0.5
reward_signal_steps_per_update: 10.0
encoder_layers: 2
policy_layers: 0

action_feature_size: 32
# separate_value_net: true
separate_policy_train: true
separate_model_train: true
separate_model_train: true
reuse_encoder: true
in_epoch_alter: false
in_batch_alter: true

time_horizon: 1000
summary_freq: 12000
threaded: true
# parameter_randomization:
# mass:
# sampler_type: uniform
# sampler_parameters:
# min_value: 2.0
# max_value: 2.0

14
config/sac_transfer/3DBallMassTransferCloud4.yaml


hyperparameters:
learning_rate: 0.0003
learning_rate_schedule: linear
batch_size: 256
model_schedule: linear
batch_size: 64
init_entcoef: 1.0
init_entcoef: 0.5
reward_signal_steps_per_update: 10.0
encoder_layers: 2
policy_layers: 0

action_feature_size: 32
# separate_value_net: true
separate_policy_train: true
separate_model_train: true
separate_model_train: true
reuse_encoder: true
in_epoch_alter: false
in_batch_alter: true

time_horizon: 1000
summary_freq: 12000
threaded: true
# parameter_randomization:
# mass:
# sampler_type: uniform
# sampler_parameters:
# min_value: 2.0
# max_value: 2.0
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