wehub-resource-sync
52 lines
1.8 KiB
Python
52 lines
1.8 KiB
Python
from typing import Dict, Optional
|
|
|
|
from ray.rllib.core.learner.learner import Learner
|
|
from ray.rllib.core.rl_module.apis import ValueFunctionAPI
|
|
from ray.rllib.utils.annotations import override
|
|
from ray.rllib.utils.lambda_defaultdict import LambdaDefaultDict
|
|
from ray.rllib.utils.typing import ModuleID, ShouldModuleBeUpdatedFn, TensorType
|
|
|
|
LEARNER_RESULTS_MOVING_AVG_SQD_ADV_NORM_KEY = "moving_avg_sqd_adv_norm"
|
|
LEARNER_RESULTS_VF_EXPLAINED_VAR_KEY = "vf_explained_variance"
|
|
|
|
|
|
# TODO (simon): Check, if the norm update should be done inside
|
|
# the Learner.
|
|
class MARWILLearner(Learner):
|
|
@override(Learner)
|
|
def build(self) -> None:
|
|
super().build()
|
|
|
|
# Dict mapping module IDs to the respective moving averages of squared
|
|
# advantages.
|
|
self.moving_avg_sqd_adv_norms_per_module: Dict[
|
|
ModuleID, TensorType
|
|
] = LambdaDefaultDict(
|
|
lambda module_id: self._get_tensor_variable(
|
|
self.config.get_config_for_module(
|
|
module_id
|
|
).moving_average_sqd_adv_norm_start
|
|
)
|
|
)
|
|
|
|
@override(Learner)
|
|
def remove_module(
|
|
self,
|
|
module_id: ModuleID,
|
|
*,
|
|
new_should_module_be_updated: Optional[ShouldModuleBeUpdatedFn] = None,
|
|
) -> None:
|
|
super().remove_module(
|
|
module_id,
|
|
new_should_module_be_updated=new_should_module_be_updated,
|
|
)
|
|
# In case of BC (beta==0.0 and this property never being used),
|
|
self.moving_avg_sqd_adv_norms_per_module.pop(module_id, None)
|
|
|
|
@classmethod
|
|
@override(Learner)
|
|
def rl_module_required_apis(cls) -> list[type]:
|
|
# In order for a PPOLearner to update an RLModule, it must implement the
|
|
# following APIs:
|
|
return [ValueFunctionAPI]
|