def create_model(cls, **kwargs) -> nn.Module:
sensors = cls.get_sensors()
return BabyAIRecurrentACModel(
action_space=gym.spaces.Discrete(
len(BabyAITask.class_action_names())),
observation_space=SensorSuite(sensors).observation_spaces,
use_instr=cls.USE_INSTR,
use_memory=True,
arch=cls.ARCH,
)
def get_sensors(cls) -> Sequence[Sensor]:
assert cls.USE_INSTR is not None
return ([
EgocentricMiniGridSensor(agent_view_size=cls.AGENT_VIEW_SIZE,
view_channels=3),
] + ([MiniGridMissionSensor(instr_len=cls.INSTR_LEN)] # type:ignore
if cls.USE_INSTR else []) + ([
ExpertActionSensor( # type: ignore
nactions=len(BabyAITask.class_action_names()))
] if cls.USE_EXPERT else []))
def create_model(cls, **kwargs) -> nn.Module:
sensors = cls.get_sensors()
return BabyAIRecurrentACModel(
action_space=gym.spaces.Discrete(
len(BabyAITask.class_action_names())),
observation_space=SensorSuite(sensors).observation_spaces,
use_instr=cls.USE_INSTR,
use_memory=True,
arch=cls.ARCH,
instr_dim=256,
lang_model="attgru",
memory_dim=2048,
include_auxiliary_head=cls.INCLUDE_AUXILIARY_HEAD,
)