Reward func wrapper
Air Force Research Laboratory (AFRL) Autonomous Capabilities Team (ACT3) Reinforcement Learning (RL) Core.
This is a US Government Work not subject to copyright protection in the US.
The use, dissemination or disclosure of data in this file is subject to limitation or restriction. See accompanying README and LICENSE for details.
BaseWrapperReward (RewardFuncBase)
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A base object that rewards can inherit in order to "wrap" a single reward instance
Source code in corl/rewards/reward_func_wrapper.py
class BaseWrapperReward(RewardFuncBase):
"""A base object that rewards can inherit in order to "wrap" a single reward instance
"""
def __init__(self, **kwargs) -> None:
self.config: BaseWrapperRewardValidator
super().__init__(**kwargs)
@property
def get_validator(self) -> typing.Type[BaseWrapperRewardValidator]:
return BaseWrapperRewardValidator
def reward(self) -> RewardFuncBase:
"""Get the wrapped reward instance
"""
return self.config.wrapped
@abc.abstractmethod
def __call__(
self,
observation: OrderedDict,
action,
next_observation: OrderedDict,
state: StateDict,
next_state: StateDict,
observation_space: StateDict,
observation_units: StateDict,
) -> RewardDict:
...
get_validator: Type[corl.rewards.reward_func_wrapper.BaseWrapperRewardValidator]
property
readonly
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Returns pydantic validator associated with this class
reward(self)
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Get the wrapped reward instance
Source code in corl/rewards/reward_func_wrapper.py
def reward(self) -> RewardFuncBase:
"""Get the wrapped reward instance
"""
return self.config.wrapped
BaseWrapperRewardValidator (RewardFuncBaseValidator)
pydantic-model
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wrapped - the wrapped reward instance
Source code in corl/rewards/reward_func_wrapper.py
class BaseWrapperRewardValidator(RewardFuncBaseValidator):
"""
wrapped - the wrapped reward instance
"""
wrapped: RewardFuncBase
class Config: # pylint: disable=C0115, R0903
arbitrary_types_allowed = True