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actor_critic_default_config.yaml
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actor_critic_default_config.yaml
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var1: &NUM_ADDON 9
var2: &NUM_BUFFS 50
var3: &NUM_UNIT_TYPES 260
var4: &NUM_UPGRADES 90
var5: &NUM_ACTIONS 327
var6: &NUM_QUEUE_ACTIONS 49
var7: &NUM_BEGINNING_ORDER_ACTIONS 174
var8: &NUM_CUMULATIVE_STAT_ACTIONS 167
var9: &SPATIAL_X 160
var10: &SPATIAL_Y 152
var11: &NUM_UNIT_MIX_ABILITIES 269
learner:
use_value_feature: False
model:
spatial_x: *SPATIAL_X
spatial_y: *SPATIAL_Y
temperature: 1.0
# ===== Tuning =====
freeze_targets: []
state_dict_mask: []
use_value_network: False
enable_baselines: ['winloss', 'build_order', 'built_unit', 'effect', 'upgrade', 'battle']
entity_reduce_type: 'selected_units_num' # ['constant', 'entity_num', 'selected_units_num']
# ===== Value =====
value:
encoder:
modules:
enemy_unit_counts_bow:
arc: fc
input_dim: *NUM_UNIT_TYPES
output_dim: 64
enemy_unit_type_bool:
arc: fc
input_dim: *NUM_UNIT_TYPES
output_dim: 64
enemy_agent_statistics:
arc: fc
input_dim: 10
output_dim: 64
enemy_upgrades:
arc: fc
input_dim: *NUM_UPGRADES
output_dim: 32
unit_alliance:
arc: one_hot
num_embeddings: 2
embedding_dim: 16
unit_type:
arc: one_hot
num_embeddings: *NUM_UNIT_TYPES
embedding_dim: 48
beginning_order:
arc: transformer
action_one_hot_dim: *NUM_BEGINNING_ORDER_ACTIONS
binary_dim: 10
head_dim: 8
output_dim: 64
activation: 'relu'
cumulative_stat:
arc: fc
input_dim: *NUM_CUMULATIVE_STAT_ACTIONS
output_dim: 128
scatter:
scatter_input_dim: 64
scatter_dim: 8
scatter_type: add
spatial:
input_dim: 10 # 8 + 2
project_dim: 16
down_channels: [16, 32, 32]
resblock_num: 4
spatial_fc_dim: 128
winloss:
name: winloss
cum_stat_keys: ['unit_build', 'research']
param:
name: 'winloss'
input_dim: 384 #1920
activation: 'relu'
norm_type: 'LN'
res_dim: 256
res_num: 16
atan: True
build_order:
name: build_order
cum_stat_keys: ['unit_build', 'effect', 'research']
param:
name: 'build_order'
input_dim: 384 #2016
activation: 'relu'
norm_type: 'LN'
res_dim: 256
res_num: 16
atan: False
built_unit:
name: built_unit
cum_stat_keys: ['unit_build']
param:
name: 'built_unit'
input_dim: 384 #1824
activation: 'relu'
norm_type: 'LN'
res_dim: 256
res_num: 16
atan: False
effect:
name: effect
cum_stat_keys: ['effect']
param:
name: 'effect'
input_dim: 384 #1824
activation: 'relu'
norm_type: 'LN'
res_dim: 256
res_num: 16
atan: False
upgrade:
name: upgrade
cum_stat_keys: ['research']
param:
name: 'upgrade'
input_dim: 384 #1824
activation: 'relu'
norm_type: 'LN'
res_dim: 256
res_num: 16
atan: False
battle:
name: battle
cum_stat_keys: ['unit_build', 'effect', 'research']
param:
name: 'battle'
input_dim: 384 #2016
activation: 'relu'
norm_type: 'LN'
res_dim: 256
res_num: 16
atan: False
# ===== Encoder =====
encoder:
obs_encoder:
encoder_names: [scalar_encoder, spatial_encoder, entity_encoder]
scalar_encoder:
module:
agent_statistics:
arc: fc
input_dim: 10
output_dim: 64
baseline_feature: True
home_race:
arc: one_hot
num_embeddings: 5
embedding_dim: 32
scalar_context: True
away_race:
arc: one_hot
num_embeddings: 5
embedding_dim: 32
scalar_context: True
upgrades:
arc: fc
input_dim: *NUM_UPGRADES
output_dim: 128
baseline_feature: True
time:
arc: identity
output_dim: 32
unit_counts_bow:
arc: fc
input_dim: *NUM_UNIT_TYPES
output_dim: 128
baseline_feature: True
last_delay:
arc: one_hot
num_embeddings: 128
embedding_dim: 64
last_queued:
arc: one_hot
num_embeddings: 2
embedding_dim: 32
last_action_type:
arc: one_hot
num_embeddings: *NUM_ACTIONS
embedding_dim: 128
cumulative_stat:
arc: fc
input_dim: *NUM_CUMULATIVE_STAT_ACTIONS
output_dim: 128
scalar_context: True
baseline_feature: True
beginning_order:
arc: transformer
action_one_hot_dim: *NUM_BEGINNING_ORDER_ACTIONS
binary_dim: 10
head_dim: 8
output_dim: 64
scalar_context: True
activation: 'relu'
baseline_feature: True
unit_type_bool:
arc: fc
input_dim: *NUM_UNIT_TYPES
output_dim: 64
scalar_context: True
enemy_unit_type_bool:
arc: fc
input_dim: *NUM_UNIT_TYPES
output_dim: 64
scalar_context: True
unit_order_type:
arc: fc
input_dim: *NUM_UNIT_MIX_ABILITIES
output_dim: 64
scalar_context: True
activation: 'relu'
output_dim: 1024
spatial_encoder:
module:
height_map:
arc: other
visibility_map:
arc: one_hot
num_embeddings: 4
creep:
arc: one_hot
num_embeddings: 2
player_relative:
arc: one_hot
num_embeddings: 5
alerts:
arc: one_hot
num_embeddings: 2
pathable:
arc: one_hot
num_embeddings: 2
buildable:
arc: one_hot
num_embeddings: 2
effect_PsiStorm:
arc: scatter
effect_NukeDot:
arc: scatter
effect_LiberatorDefenderZone:
arc: scatter
effect_BlindingCloud:
arc: scatter
effect_CorrosiveBile:
arc: scatter
effect_LurkerSpines:
arc: scatter
input_dim: 56
resblock_num: 4
fc_dim: 256
project_dim: 32
downsample_type: 'maxpool'
down_channels: [64, 128, 128]
activation: 'relu'
norm_type: 'none'
head_type: 'fc'
entity_encoder:
module:
unit_type:
arc: one_hot
num_embeddings: *NUM_UNIT_TYPES
alliance:
arc: one_hot
num_embeddings: 5
cargo_space_taken:
arc: one_hot
num_embeddings: 9
build_progress:
arc: unsqueeze
health_ratio:
arc: unsqueeze
shield_ratio:
arc: unsqueeze
energy_ratio:
arc: unsqueeze
display_type:
arc: one_hot
num_embeddings: 5
x:
arc: binary
num_embeddings: 11
y:
arc: binary
num_embeddings: 11
cloak:
arc: one_hot
num_embeddings: 5
is_blip:
arc: one_hot
num_embeddings: 2
is_powered:
arc: one_hot
num_embeddings: 2
mineral_contents:
arc: unsqueeze
vespene_contents:
arc: unsqueeze
cargo_space_max:
arc: one_hot
num_embeddings: 9
assigned_harvesters:
arc: one_hot
num_embeddings: 24
weapon_cooldown:
arc: one_hot
num_embeddings: 32
order_length:
arc: one_hot
num_embeddings: 9
order_id_0:
arc: one_hot
num_embeddings: *NUM_ACTIONS
order_id_1:
arc: one_hot
num_embeddings: *NUM_QUEUE_ACTIONS
is_hallucination:
arc: one_hot
num_embeddings: 2
buff_id_0:
arc: one_hot
num_embeddings: *NUM_BUFFS
buff_id_1:
arc: one_hot
num_embeddings: *NUM_BUFFS
addon_unit_type:
arc: one_hot
num_embeddings: *NUM_ADDON
is_active:
arc: one_hot
num_embeddings: 2
order_progress_0:
arc: unsqueeze
order_progress_1:
arc: unsqueeze
order_id_2:
arc: one_hot
num_embeddings: *NUM_QUEUE_ACTIONS
order_id_3:
arc: one_hot
num_embeddings: *NUM_QUEUE_ACTIONS
is_in_cargo:
arc: one_hot
num_embeddings: 2
attack_upgrade_level:
arc: one_hot
num_embeddings: 4
armor_upgrade_level:
arc: one_hot
num_embeddings: 4
shield_upgrade_level:
arc: one_hot
num_embeddings: 4
last_selected_units:
arc: one_hot
num_embeddings: 2
last_targeted_unit:
arc: one_hot
num_embeddings: 2
input_dim: 997 # cat all entity info
head_dim: 128
hidden_dim: 1024
output_dim: 256
head_num: 2
mlp_num: 2
layer_num: 3
dropout_ratio: 0
activation: 'relu'
ln_type: 'post'
use_score_cumulative: False
scatter:
input_dim: 256 # entity_encoder.output_dim
output_dim: 32
scatter_type: 'add'
core_lstm:
lstm_type: 'normal'
input_size: 1536 # spatial_encoder.fc_dim + entity_encoder.output_dim + scalar_encoder.output_dim
hidden_size: 384
num_layers: 3
dropout: 0.0
score_cumulative:
input_dim: 13
output_dim: 64
activation: 'relu'
# ===== Policy =====
policy:
head:
head_names: [action_type_head, delay_head, queued_head, selected_units_head, target_unit_head, location_head]
action_type_head:
input_dim: 384 # core.hidden_size
res_dim: 256
res_num: 2
action_num: *NUM_ACTIONS
action_map_dim: 256 # scalar context
gate_dim: 1024
context_dim: 448
activation: 'relu'
norm_type: 'LN'
ln_type: 'normal'
use_mask: False
delay_head:
input_dim: 1024 # action_type_head.gate_dim
decode_dim: 256
delay_dim: 128
delay_map_dim: 256
activation: 'relu'
queued_head:
input_dim: 1024 # action_type_head.gate_dim
decode_dim: 256
queued_dim: 2
queued_map_dim: 256
activation: 'relu'
selected_units_head:
lstm_type: 'pytorch'
lstm_norm_type: 'none'
lstm_dropout: 0.
input_dim: 1024 # action_type_head.gate_dim
entity_embedding_dim: 256 # entity_encoder.output_dim
key_dim: 32
unit_type_dim: 259
func_dim: 256
hidden_dim: 32
num_layers: 1
max_entity_num: 64
activation: 'relu'
target_unit_head:
input_dim: 1024 # action_type_head.gate_dim
entity_embedding_dim: 256 # entity_encoder.output_dim
key_dim: 32
unit_type_dim: 259
func_dim: 256
activation: 'relu'
embedding_norm: True
location_head:
input_dim: 1024
project_dim: 1024
upsample_type: 'bilinear'
upsample_dims: [64, 32, 1] # len(upsample_dims)-len(down_channels)+1 = ratio
res_dim: 128
res_num: 4
film: False
gate: True
unet: False
reshape_size: [16, 16]
reshape_channel: 4 # entity_encoder.gate_dim / reshape_size
map_skip_dim: 128 # spatial_encoder.down_channels[-1]
activation: 'relu'
# loc_type: 'alphastar'