Unity 机器学习代理工具包 (ML-Agents) 是一个开源项目,它使游戏和模拟能够作为训练智能代理的环境。
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behaviors:
3DBall:
trainer_type: ppo_transfer
hyperparameters:
batch_size: 64
buffer_size: 12000
learning_rate: 0.0003
beta: 0.001
epsilon: 0.2
lambd: 0.99
num_epoch: 3
learning_rate_schedule: linear
model_schedule: constant
separate_model_train: true
encoder_layers: 1
policy_layers: 1
forward_layers: 1
value_layers: 1
feature_size: 16
reuse_encoder: false
in_epoch_alter: false
in_batch_alter: true
use_op_buffer: false
use_var_predict: true
with_prior: false
predict_return: true
use_bisim: false
separate_value_net: false
network_settings:
normalize: true
hidden_units: 128
num_layers: 2
vis_encode_type: simple
reward_signals:
extrinsic:
gamma: 0.99
strength: 1.0
keep_checkpoints: 5
max_steps: 500000
time_horizon: 1000
summary_freq: 12000
threaded: true