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:
WalkerStatic:
trainer_type: ppo_transfer
hyperparameters:
batch_size: 2048
buffer_size: 20480
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: 3
forward_layers: 2
inverse_layers: 1
separate_value_net: true
feature_size: 64
reuse_encoder: false
in_epoch_alter: true
use_op_buffer: 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: 20000000
time_horizon: 1000
summary_freq: 30000
threaded: true