garage.torch.policies.policy
¶
Base Policy.
-
class
Policy
(env_spec, name)¶ Bases:
torch.nn.Module
,garage.np.policies.Policy
,abc.ABC
Policy base class.
-
abstract
get_action
(self, observation)¶ Get action sampled from the policy.
-
abstract
get_actions
(self, observations)¶ Get actions given observations.
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get_param_values
(self)¶ Get the parameters to the policy.
This method is included to ensure consistency with TF policies.
- Returns
The parameters (in the form of the state dictionary).
- Return type
-
set_param_values
(self, state_dict)¶ Set the parameters to the policy.
This method is included to ensure consistency with TF policies.
- Parameters
state_dict (dict) – State dictionary.
-
reset
(self, do_resets=None)¶ Reset the policy.
This is effective only to recurrent policies.
do_resets is an array of boolean indicating which internal states to be reset. The length of do_resets should be equal to the length of inputs, i.e. batch size.
- Parameters
do_resets (numpy.ndarray) – Bool array indicating which states to be reset.
-
property
env_spec
(self)¶ Policy environment specification.
- Returns
Environment specification.
- Return type
garage.EnvSpec
-
property
observation_space
(self)¶ Observation space.
- Returns
The observation space of the environment.
- Return type
akro.Space
-
property
action_space
(self)¶ Action space.
- Returns
The action space of the environment.
- Return type
akro.Space
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abstract