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: ppo
hyperparameters:
batch_size: 1024
buffer_size: 10240
learning_rate: 0.0003
beta: 0.005
epsilon: 0.2
lambd: 0.95
num_epoch: 3
learning_rate_schedule: constant
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: 50000000
time_horizon: 1000
summary_freq: 10000
threaded: true
self_play:
save_steps: 50000
team_change: 100000
swap_steps: 50000
window: 10
play_against_latest_model_ratio: 0.5
initial_elo: 1200.0