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:
VisualPyramids:
trainer_type: sac
hyperparameters:
learning_rate: 0.0003
learning_rate_schedule: constant
batch_size: 64
buffer_size: 500000
buffer_init_steps: 1000
tau: 0.01
steps_per_update: 10.0
save_replay_buffer: false
init_entcoef: 0.01
reward_signal_steps_per_update: 10.0
network_settings:
normalize: false
hidden_units: 256
num_layers: 1
vis_encode_type: simple
reward_signals:
extrinsic:
gamma: 0.99
strength: 2.0
gail:
gamma: 0.99
strength: 0.02
learning_rate: 0.0003
use_actions: true
use_vail: false
demo_path: Project/Assets/ML-Agents/Examples/Pyramids/Demos/ExpertPyramid.demo
keep_checkpoints: 5
max_steps: 10000000
time_horizon: 128
summary_freq: 10000
threaded: true