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: ppo
batch_size: 1024
beta: 0.005
buffer_size: 10240
epsilon: 0.2
hidden_units: 256
lambd: 0.95
learning_rate: 0.0003
learning_rate_schedule: constant
max_steps: 5.0e7
memory_size: 128
normalize: true
num_epoch: 3
num_layers: 2
time_horizon: 1000
sequence_length: 64
summary_freq: 10000
use_recurrent: false
vis_encode_type: simple
reward_signals:
extrinsic:
strength: 1.0
gamma: 0.99
self_play:
window: 10
play_against_latest_model_ratio: 0.5
save_steps: 50000
swap_steps: 50000
team_change: 100000