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:
Tennis:
trainer_type: sac
hyperparameters:
learning_rate: 0.0003
learning_rate_schedule: constant
batch_size: 128
buffer_size: 50000
buffer_init_steps: 0
tau: 0.005
steps_per_update: 10.0
save_replay_buffer: false
init_entcoef: 1.0
reward_signal_steps_per_update: 10.0
network_settings:
normalize: true
hidden_units: 256
num_layers: 2
vis_encode_type: simple
reward_signals:
extrinsic:
gamma: 0.99
strength: 1.0
output_path: default
keep_checkpoints: 5
max_steps: 20000000
time_horizon: 64
summary_freq: 10000
threaded: true
self_play:
save_steps: 50000
team_change: 250000
swap_steps: 50000
window: 10
play_against_latest_model_ratio: 0.5
initial_elo: 1200.0