tf_agents.trajectories.time_step_spec
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Returns a TimeStep
spec given the observation_spec.
tf_agents.trajectories.time_step_spec(
observation_spec: Optional[types.NestedSpec] = None,
reward_spec: Optional[types.NestedSpec] = None
) -> tf_agents.trajectories.TimeStep
Used in the notebooks
Args |
observation_spec
|
A nest of tf.TypeSpec or ArraySpec objects.
|
reward_spec
|
(Optional) A nest of tf.TypeSpec or ArraySpec objects.
Default - a scalar float32 of the same type (Tensor or Array) as
observation_spec .
|
Returns |
A TimeStep with the same types (TypeSpec or ArraySpec ) as
the first entry in observation_spec .
|
Raises |
TypeError
|
If observation and reward specs aren't both either tensor type
specs or array type specs.
|
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Last updated 2024-04-26 UTC.
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