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:
SmallWallJump:
trainer_type: ppo
hyperparameters:
batch_size: 128
buffer_size: 2048
learning_rate: 0.0003
beta: 0.005
epsilon: 0.2
lambd: 0.95
num_epoch: 3
learning_rate_schedule: linear
network_settings:
normalize: false
hidden_units: 256
num_layers: 2
vis_encode_type: simple
reward_signals:
extrinsic:
gamma: 0.99
strength: 1.0
keep_checkpoints: 5
max_steps: 15000000
time_horizon: 128
summary_freq: 20000
threaded: true
environment_parameters:
big_wall_height:
curriculum:
- name: Lesson0
completion_criteria:
measure: progress
behavior: SmallWallJump
signal_smoothing: true
min_lesson_length: 100
threshold: 0.1
value: 3
- name: Lesson1
completion_criteria:
measure: progress
behavior: SmallWallJump
signal_smoothing: true
min_lesson_length: 100
threshold: 0.3
value: 5
- name: Lesson2
completion_criteria:
measure: progress
behavior: SmallWallJump
signal_smoothing: true
min_lesson_length: 100
threshold: 0.5
value: 8
- name: Lesson3
completion_criteria:
measure: progress
behavior: SmallWallJump
signal_smoothing: true
min_lesson_length: 100
threshold: 0.7
value: 9
- name: Lesson4
value: 9