浏览代码

3dball transfers

/develop/bisim-review
Andrew Cohen 4 年前
当前提交
6979a952
共有 3 个文件被更改,包括 89 次插入3 次删除
  1. 18
      config/ppo_transfer/3DBall.yaml
  2. 21
      config/ppo_transfer/3DBallHard.yaml
  3. 53
      config/ppo_transfer/3DBallHardTransfer.yaml

18
config/ppo_transfer/3DBall.yaml


lambd: 0.99
num_epoch: 3
learning_rate_schedule: linear
model_schedule: linear
load_model: false
encoder_layers: 2
action_layers: 1
policy_layers: 1
forward_layers: 0
value_layers: 1
feature_size: 64
action_feature_size: 32
reuse_encoder: false
in_epoch_alter: false
use_op_buffer: false
use_var_predict: true
with_prior: false
predict_return: true
use_bisim: false
separate_value_train: true
in_batch_alter: true
network_settings:
normalize: true
hidden_units: 128

21
config/ppo_transfer/3DBallHard.yaml


lambd: 0.95
num_epoch: 3
learning_rate_schedule: linear
conv_thres: 1e-3
use_transfer: true
transfer_path: "results/single_ball/3DBall"
model_schedule: linear
load_model: false
encoder_layers: 2
action_layers: 1
policy_layers: 1
forward_layers: 0
value_layers: 1
feature_size: 64
action_feature_size: 32
reuse_encoder: false
in_epoch_alter: false
use_op_buffer: false
use_var_predict: true
with_prior: false
predict_return: true
use_bisim: false
separate_value_train: true
in_batch_alter: true
network_settings:
normalize: true
hidden_units: 128

53
config/ppo_transfer/3DBallHardTransfer.yaml


behaviors:
3DBallHard:
trainer_type: ppo_transfer
hyperparameters:
batch_size: 1200
buffer_size: 12000
learning_rate: 0.0003
beta: 0.001
epsilon: 0.2
lambd: 0.95
num_epoch: 3
learning_rate_schedule: linear
model_schedule: linear
encoder_layers: 2
action_layers: 1
policy_layers: 1
forward_layers: 0
value_layers: 1
feature_size: 64
action_feature_size: 32
reuse_encoder: false
in_epoch_alter: false
use_op_buffer: false
use_var_predict: true
with_prior: false
predict_return: true
use_bisim: false
separate_value_train: true
train_model: false
load_model: true
train_action: false
load_action: true
train_policy: true
load_policy: false
train_value: true
load_value: false
transfer_path: "results/3d-tr-s1/3DBall"
use_transfer: true
in_batch_alter: true
network_settings:
normalize: true
hidden_units: 128
num_layers: 1
vis_encode_type: simple
reward_signals:
extrinsic:
gamma: 0.995
strength: 1.0
keep_checkpoints: 5
max_steps: 4000000
time_horizon: 1000
summary_freq: 12000
threaded: true
正在加载...
取消
保存