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:
Hallway:
trainer_type: ppo
hyperparameters:
batch_size: 128
buffer_size: 1024
learning_rate: 0.0003
beta: 0.01
epsilon: 0.2
lambd: 0.95
num_epoch: 3
learning_rate_schedule: linear
network_settings:
normalize: false
hidden_units: 128
num_layers: 2
vis_encode_type: simple
memory:
sequence_length: 64
memory_size: 256
reward_signals:
extrinsic:
gamma: 0.99
strength: 1.0
gail:
gamma: 0.99
strength: 0.1
encoding_size: 128
learning_rate: 0.0003
use_actions: false
use_vail: false
demo_path: Project/Assets/ML-Agents/Examples/Hallway/Demos/ExpertHallway.demo
output_path: default
keep_checkpoints: 5
max_steps: 10000000
time_horizon: 64
summary_freq: 10000
threaded: true