garage.torch.policies.policy
¶
Base Policy.
- class Policy(env_spec, name)¶
Bases:
torch.nn.Module
,garage.np.policies.Policy
,abc.ABC
Policy base class.
- property env_spec¶
Policy environment specification.
- Returns
Environment specification.
- Return type
- property observation_space¶
Observation space.
- Returns
The observation space of the environment.
- Return type
akro.Space
- property action_space¶
Action space.
- Returns
The action space of the environment.
- Return type
akro.Space
- abstract get_action(observation)¶
Get action sampled from the policy.
- abstract get_actions(observations)¶
Get actions given observations.
- get_param_values()¶
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(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(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.