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。
您最多选择25个主题 主题必须以中文或者字母或数字开头,可以包含连字符 (-),并且长度不得超过35个字符
 
 
 
 
 

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2.6 KiB

behaviors:
Sorter:
trainer_type: ppo
hyperparameters:
batch_size: 512
buffer_size: 40960
learning_rate: 0.0003
beta: 0.005
epsilon: 0.2
lambd: 0.95
num_epoch: 3
learning_rate_schedule: constant
network_settings:
normalize: False
hidden_units: 128
num_layers: 2
vis_encode_type: simple
reward_signals:
extrinsic:
gamma: 0.99
strength: 1.0
keep_checkpoints: 5
max_steps: 10000000
time_horizon: 256
summary_freq: 10000
threaded: true
environment_parameters:
num_tiles:
curriculum:
- name: Lesson0 # The '-' is important as this is a list
completion_criteria:
measure: progress
behavior: Sorter
signal_smoothing: true
min_lesson_length: 100
threshold: 0.5
value: 2.0
- name: Lesson1
completion_criteria:
measure: progress
behavior: Sorter
signal_smoothing: true
min_lesson_length: 100
threshold: 0.6
value: 4.0
- name: Lesson2
completion_criteria:
measure: progress
behavior: Sorter
signal_smoothing: true
min_lesson_length: 100
threshold: 0.65
value: 6.0
- name: Lesson3
completion_criteria:
measure: progress
behavior: Sorter
signal_smoothing: true
min_lesson_length: 100
threshold: 0.7
value: 8.0
- name: Lesson4
completion_criteria:
measure: progress
behavior: Sorter
signal_smoothing: true
min_lesson_length: 100
threshold: 0.75
value: 10.0
- name: Lesson5
completion_criteria:
measure: progress
behavior: Sorter
signal_smoothing: true
min_lesson_length: 100
threshold: 0.8
value: 12.0
- name: Lesson6
completion_criteria:
measure: progress
behavior: Sorter
signal_smoothing: true
min_lesson_length: 100
threshold: 0.85
value: 14.0
- name: Lesson7
completion_criteria:
measure: progress
behavior: Sorter
signal_smoothing: true
min_lesson_length: 100
threshold: 0.9
value: 16.0
- name: Lesson8
completion_criteria:
measure: progress
behavior: Sorter
signal_smoothing: true
min_lesson_length: 100
threshold: 0.95
value: 18.0
- name: Lesson9
value: 20.0
env_settings:
num_envs: 8