tf_agents.bandits.policies.constraints.BaseConstraint
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Abstract base class for representing constraints.
tf_agents.bandits.policies.constraints.BaseConstraint(
time_step_spec: tf_agents.typing.types.TimeStep,
action_spec: tf_agents.typing.types.BoundedTensorSpec,
name: Optional[Text] = None
)
The constraint class provides feasibility computation functionality for
computing the probability of actions being feasible.
Args |
|---|
time_step_spec
|
A TimeStep spec of the expected time_steps.
|
action_spec
|
A nest of BoundedTensorSpec representing the actions.
|
name
|
Python str name of this constraint.
|
Methods
__call__
View source
@abc.abstractmethod
__call__(
observation: tf_agents.typing.types.NestedTensor,
actions: Optional[types.Tensor] = None
) -> tf_agents.typing.types.Tensor
Returns the probability of input actions being feasible.
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Last updated 2024-04-26 UTC.
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View source on GitHub