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test more configs

/develop/bisim-review
yanchaosun 5 年前
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fe4e057f
共有 4 个文件被更改,包括 142 次插入0 次删除
  1. 33
      config/ppo_transfer/OldCrawlerStaticOpbuf.yaml
  2. 34
      config/ppo_transfer/OldCrawlerStaticVarp.yaml
  3. 37
      config/ppo_transfer/TransferCrawlerStaticOpbuf.yaml
  4. 38
      config/ppo_transfer/TransferCrawlerStaticVarp.yaml

33
config/ppo_transfer/OldCrawlerStaticOpbuf.yaml


behaviors:
CrawlerStatic:
trainer_type: ppo_transfer
hyperparameters:
batch_size: 2024
buffer_size: 20240
learning_rate: 0.0003
beta: 0.005
epsilon: 0.2
lambd: 0.95
num_epoch: 3
learning_rate_schedule: linear
encoder_layers: 2
policy_layers: 2
value_layers: 2
feature_size: 32
reuse_encoder: true
use_op_buffer: true
in_epoch_alter: true
network_settings:
normalize: true
hidden_units: 512
num_layers: 3
vis_encode_type: simple
reward_signals:
extrinsic:
gamma: 0.995
strength: 1.0
keep_checkpoints: 5
max_steps: 10000000
time_horizon: 1000
summary_freq: 30000
threaded: true

34
config/ppo_transfer/OldCrawlerStaticVarp.yaml


behaviors:
CrawlerStatic:
trainer_type: ppo_transfer
hyperparameters:
batch_size: 2024
buffer_size: 20240
learning_rate: 0.0003
beta: 0.005
epsilon: 0.2
lambd: 0.95
num_epoch: 3
learning_rate_schedule: linear
encoder_layers: 2
policy_layers: 2
value_layers: 2
feature_size: 32
reuse_encoder: true
in_epoch_alter: true
use_var_predict: true
with_prior: true
network_settings:
normalize: true
hidden_units: 512
num_layers: 3
vis_encode_type: simple
reward_signals:
extrinsic:
gamma: 0.995
strength: 1.0
keep_checkpoints: 5
max_steps: 10000000
time_horizon: 1000
summary_freq: 30000
threaded: true

37
config/ppo_transfer/TransferCrawlerStaticOpbuf.yaml


behaviors:
CrawlerStatic:
trainer_type: ppo_transfer
hyperparameters:
batch_size: 2024
buffer_size: 20240
learning_rate: 0.0003
beta: 0.005
epsilon: 0.2
lambd: 0.95
num_epoch: 3
learning_rate_schedule: linear
encoder_layers: 2
policy_layers: 2
value_layers: 2
feature_size: 32
reuse_encoder: true
in_epoch_alter: true
use_op_buffer: true
use_transfer: true
train_type: "policy"
transfer_path: "results/cs-old-opbuf/CrawlerStatic"
network_settings:
normalize: true
hidden_units: 512
num_layers: 3
vis_encode_type: simple
reward_signals:
extrinsic:
gamma: 0.995
strength: 1.0
keep_checkpoints: 5
max_steps: 10000000
time_horizon: 1000
summary_freq: 30000
threaded: true
transfer: true

38
config/ppo_transfer/TransferCrawlerStaticVarp.yaml


behaviors:
CrawlerStatic:
trainer_type: ppo_transfer
hyperparameters:
batch_size: 2024
buffer_size: 20240
learning_rate: 0.0003
beta: 0.005
epsilon: 0.2
lambd: 0.95
num_epoch: 3
learning_rate_schedule: linear
encoder_layers: 2
policy_layers: 2
value_layers: 2
feature_size: 32
reuse_encoder: true
in_epoch_alter: true
use_var_predict: true
with_prior: true
use_transfer: true
train_type: "policy"
transfer_path: "results/cs-old-varp/CrawlerStatic"
network_settings:
normalize: true
hidden_units: 512
num_layers: 3
vis_encode_type: simple
reward_signals:
extrinsic:
gamma: 0.995
strength: 1.0
keep_checkpoints: 5
max_steps: 10000000
time_horizon: 1000
summary_freq: 30000
threaded: true
transfer: true
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