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
321 行
6.2 KiB
321 行
6.2 KiB
default:
|
|
trainer: ppo
|
|
batch_size: 1024
|
|
beta: 5.0e-3
|
|
buffer_size: 10240
|
|
epsilon: 0.2
|
|
hidden_units: 128
|
|
lambd: 0.95
|
|
learning_rate: 3.0e-4
|
|
learning_rate_schedule: linear
|
|
max_steps: 5.0e5
|
|
memory_size: 128
|
|
normalize: false
|
|
num_epoch: 3
|
|
num_layers: 2
|
|
time_horizon: 64
|
|
sequence_length: 64
|
|
summary_freq: 10000
|
|
use_recurrent: false
|
|
vis_encode_type: simple
|
|
reward_signals:
|
|
extrinsic:
|
|
strength: 1.0
|
|
gamma: 0.99
|
|
|
|
FoodCollector:
|
|
normalize: false
|
|
beta: 5.0e-3
|
|
batch_size: 1024
|
|
buffer_size: 10240
|
|
max_steps: 2.0e6
|
|
|
|
Bouncer:
|
|
normalize: true
|
|
max_steps: 4.0e6
|
|
num_layers: 2
|
|
hidden_units: 64
|
|
|
|
PushBlock:
|
|
max_steps: 2.0e6
|
|
batch_size: 128
|
|
buffer_size: 2048
|
|
beta: 1.0e-2
|
|
hidden_units: 256
|
|
summary_freq: 60000
|
|
time_horizon: 64
|
|
num_layers: 2
|
|
|
|
SmallWallJump:
|
|
max_steps: 5e6
|
|
batch_size: 128
|
|
buffer_size: 2048
|
|
beta: 5.0e-3
|
|
hidden_units: 256
|
|
summary_freq: 20000
|
|
time_horizon: 128
|
|
num_layers: 2
|
|
normalize: false
|
|
|
|
BigWallJump:
|
|
max_steps: 2e7
|
|
batch_size: 128
|
|
buffer_size: 2048
|
|
beta: 5.0e-3
|
|
hidden_units: 256
|
|
summary_freq: 20000
|
|
time_horizon: 128
|
|
num_layers: 2
|
|
normalize: false
|
|
|
|
Pyramids:
|
|
summary_freq: 30000
|
|
time_horizon: 128
|
|
batch_size: 128
|
|
buffer_size: 2048
|
|
hidden_units: 512
|
|
num_layers: 2
|
|
beta: 1.0e-2
|
|
max_steps: 1.0e7
|
|
num_epoch: 3
|
|
reward_signals:
|
|
extrinsic:
|
|
strength: 1.0
|
|
gamma: 0.99
|
|
curiosity:
|
|
strength: 0.02
|
|
gamma: 0.99
|
|
encoding_size: 256
|
|
|
|
VisualPyramids:
|
|
time_horizon: 128
|
|
batch_size: 64
|
|
buffer_size: 2024
|
|
hidden_units: 256
|
|
num_layers: 1
|
|
beta: 1.0e-2
|
|
max_steps: 1.0e7
|
|
num_epoch: 3
|
|
reward_signals:
|
|
extrinsic:
|
|
strength: 1.0
|
|
gamma: 0.99
|
|
curiosity:
|
|
strength: 0.01
|
|
gamma: 0.99
|
|
encoding_size: 256
|
|
|
|
3DBall:
|
|
normalize: true
|
|
batch_size: 64
|
|
buffer_size: 12000
|
|
summary_freq: 12000
|
|
time_horizon: 1000
|
|
lambd: 0.99
|
|
beta: 0.001
|
|
|
|
3DBallHard:
|
|
normalize: true
|
|
batch_size: 1200
|
|
buffer_size: 12000
|
|
summary_freq: 12000
|
|
time_horizon: 1000
|
|
max_steps: 5.0e6
|
|
beta: 0.001
|
|
reward_signals:
|
|
extrinsic:
|
|
strength: 1.0
|
|
gamma: 0.995
|
|
|
|
Tennis:
|
|
normalize: true
|
|
max_steps: 5.0e7
|
|
learning_rate_schedule: constant
|
|
batch_size: 1024
|
|
buffer_size: 10240
|
|
hidden_units: 256
|
|
time_horizon: 1000
|
|
self_play:
|
|
window: 10
|
|
play_against_latest_model_ratio: 0.5
|
|
save_steps: 50000
|
|
swap_steps: 50000
|
|
team_change: 100000
|
|
|
|
Goalie:
|
|
normalize: false
|
|
max_steps: 5.0e7
|
|
learning_rate_schedule: constant
|
|
batch_size: 2048
|
|
buffer_size: 20480
|
|
hidden_units: 512
|
|
time_horizon: 1000
|
|
num_layers: 2
|
|
self_play:
|
|
window: 10
|
|
play_against_latest_model_ratio: 0.5
|
|
save_steps: 50000
|
|
swap_steps: 25000
|
|
team_change: 200000
|
|
|
|
Striker:
|
|
normalize: false
|
|
max_steps: 5.0e7
|
|
learning_rate_schedule: constant
|
|
batch_size: 2048
|
|
buffer_size: 20480
|
|
hidden_units: 512
|
|
time_horizon: 1000
|
|
num_layers: 2
|
|
self_play:
|
|
window: 10
|
|
play_against_latest_model_ratio: 0.5
|
|
save_steps: 50000
|
|
swap_steps: 100000
|
|
team_change: 200000
|
|
|
|
SoccerTwos:
|
|
normalize: false
|
|
max_steps: 5.0e7
|
|
learning_rate_schedule: constant
|
|
batch_size: 2048
|
|
buffer_size: 20480
|
|
hidden_units: 512
|
|
time_horizon: 1000
|
|
num_layers: 2
|
|
self_play:
|
|
window: 10
|
|
play_against_latest_model_ratio: 0.5
|
|
save_steps: 50000
|
|
swap_steps: 50000
|
|
team_change: 200000
|
|
|
|
CrawlerStatic:
|
|
normalize: true
|
|
num_epoch: 3
|
|
time_horizon: 1000
|
|
batch_size: 2024
|
|
buffer_size: 20240
|
|
max_steps: 1e7
|
|
summary_freq: 30000
|
|
num_layers: 3
|
|
hidden_units: 512
|
|
reward_signals:
|
|
extrinsic:
|
|
strength: 1.0
|
|
gamma: 0.995
|
|
|
|
CrawlerDynamic:
|
|
normalize: true
|
|
num_epoch: 3
|
|
time_horizon: 1000
|
|
batch_size: 2024
|
|
buffer_size: 20240
|
|
max_steps: 1e7
|
|
summary_freq: 30000
|
|
num_layers: 3
|
|
hidden_units: 512
|
|
reward_signals:
|
|
extrinsic:
|
|
strength: 1.0
|
|
gamma: 0.995
|
|
|
|
Walker:
|
|
normalize: true
|
|
num_epoch: 3
|
|
time_horizon: 1000
|
|
batch_size: 2048
|
|
buffer_size: 20480
|
|
max_steps: 2e7
|
|
summary_freq: 30000
|
|
num_layers: 3
|
|
hidden_units: 512
|
|
reward_signals:
|
|
extrinsic:
|
|
strength: 1.0
|
|
gamma: 0.995
|
|
|
|
Reacher:
|
|
normalize: true
|
|
num_epoch: 3
|
|
time_horizon: 1000
|
|
batch_size: 2024
|
|
buffer_size: 20240
|
|
max_steps: 2e7
|
|
summary_freq: 60000
|
|
reward_signals:
|
|
extrinsic:
|
|
strength: 1.0
|
|
gamma: 0.995
|
|
|
|
Hallway:
|
|
use_recurrent: true
|
|
sequence_length: 64
|
|
num_layers: 2
|
|
hidden_units: 128
|
|
memory_size: 128
|
|
beta: 1.0e-2
|
|
num_epoch: 3
|
|
buffer_size: 1024
|
|
batch_size: 128
|
|
max_steps: 1.0e7
|
|
summary_freq: 10000
|
|
time_horizon: 64
|
|
|
|
VisualHallway:
|
|
use_recurrent: true
|
|
sequence_length: 64
|
|
num_layers: 1
|
|
hidden_units: 128
|
|
memory_size: 128
|
|
beta: 1.0e-2
|
|
num_epoch: 3
|
|
buffer_size: 1024
|
|
batch_size: 64
|
|
max_steps: 1.0e7
|
|
summary_freq: 10000
|
|
time_horizon: 64
|
|
|
|
VisualPushBlock:
|
|
use_recurrent: true
|
|
sequence_length: 32
|
|
num_layers: 1
|
|
hidden_units: 128
|
|
memory_size: 128
|
|
beta: 1.0e-2
|
|
num_epoch: 3
|
|
buffer_size: 1024
|
|
batch_size: 64
|
|
max_steps: 3.0e6
|
|
summary_freq: 60000
|
|
time_horizon: 64
|
|
|
|
GridWorld:
|
|
batch_size: 32
|
|
normalize: false
|
|
num_layers: 1
|
|
hidden_units: 256
|
|
beta: 5.0e-3
|
|
buffer_size: 256
|
|
max_steps: 500000
|
|
summary_freq: 20000
|
|
time_horizon: 5
|
|
reward_signals:
|
|
extrinsic:
|
|
strength: 1.0
|
|
gamma: 0.9
|
|
|
|
Basic:
|
|
batch_size: 32
|
|
normalize: false
|
|
num_layers: 1
|
|
hidden_units: 20
|
|
beta: 5.0e-3
|
|
buffer_size: 256
|
|
max_steps: 5.0e5
|
|
summary_freq: 2000
|
|
time_horizon: 3
|
|
reward_signals:
|
|
extrinsic:
|
|
strength: 1.0
|
|
gamma: 0.9
|