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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behaviors:
BigWallJump:
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: 20000000
time_horizon: 128
summary_freq: 20000
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: 5000000
time_horizon: 128
summary_freq: 20000
environment_parameters:
big_wall_height:
curriculum:
- name: Lesson0 # The '-' is important as this is a list
completion_criteria:
measure: progress
behavior: BigWallJump
signal_smoothing: true
min_lesson_length: 100
threshold: 0.1
value:
sampler_type: uniform
sampler_parameters:
min_value: 0.0
max_value: 4.0
- name: Lesson1 # This is the start of the second lesson
completion_criteria:
measure: progress
behavior: BigWallJump
signal_smoothing: true
min_lesson_length: 100
threshold: 0.3
value:
sampler_type: uniform
sampler_parameters:
min_value: 4.0
max_value: 7.0
- name: Lesson2
completion_criteria:
measure: progress
behavior: BigWallJump
signal_smoothing: true
min_lesson_length: 100
threshold: 0.5
value:
sampler_type: uniform
sampler_parameters:
min_value: 6.0
max_value: 8.0
- name: Lesson3
value: 8.0
small_wall_height:
curriculum:
- name: Lesson0
completion_criteria:
measure: progress
behavior: SmallWallJump
signal_smoothing: true
min_lesson_length: 100
threshold: 0.1
value: 1.5
- name: Lesson1
completion_criteria:
measure: progress
behavior: SmallWallJump
signal_smoothing: true
min_lesson_length: 100
threshold: 0.3
value: 2.0
- name: Lesson2
completion_criteria:
measure: progress
behavior: SmallWallJump
signal_smoothing: true
min_lesson_length: 100
threshold: 0.5
value: 2.5
- name: Lesson3
value: 4.0