garage.tf.policies.uniform_control_policy module¶

class UniformControlPolicy(env_spec)[source]¶

get_action(observation)[source]¶

Get action sampled from the policy.

Parameters:	observation (np.ndarray) – Observation from the environment.
Returns:	Action sampled from the policy.
Return type:	(np.ndarray)

get_actions(observations)[source]¶

Get action sampled from the policy.

Parameters:	observations (list[np.ndarray]) – Observations from the environment.
Returns:	Actions sampled from the policy.
Return type:	(np.ndarray)

vectorized¶

Boolean for vectorized.

Returns:	Indicates whether the policy is vectorized. If True, it should implement get_actions(), and support resetting with multiple simultaneous states.
Return type:	bool