garage.np.policies.fixed_policy

Policy that performs a fixed sequence of actions.

class FixedPolicy(env_spec, scripted_actions, agent_infos=None)

Bases: garage.np.policies.policy.Policy

Policy that performs a fixed sequence of actions.

Parameters

• env_spec (garage.envs.env_spec.EnvSpec) – Environment specification.

• scripted_actions (list[np.ndarray] or np.ndarray) – Sequence of actions to perform.

• agent_infos (list[dict[str, np.ndarray]] or None) – Sequence of agent_infos to produce.

reset(self, do_resets=None)

Reset policy.

Parameters

do_resets (None or list[bool]) – Vectorized policy states to reset.

Raises

ValueError – If do_resets has length greater than 1.

set_param_values(self, params)

Set param values of policy.

Parameters

params (object) – Ignored.

get_param_values(self)

Return policy params (there are none).

Returns

Empty tuple.

Return type

tuple

get_action(self, observation)

Get next action.

Parameters

observation (np.ndarray) – Ignored.

Raises

ValueError – If policy is currently vectorized (reset was called with more than one done value).

Returns

The action and agent_info

for this time step.

Return type

tuple[np.ndarray, dict[str, np.ndarray]]

get_actions(self, observations)

Get next action.

Parameters

observations (np.ndarray) – Ignored.

Raises

ValueError – If observations has length greater than 1.

Returns

The action and agent_info

for this time step.

Return type

tuple[np.ndarray, dict[str, np.ndarray]]

property env_spec(self)

Policy environment specification.

Returns

Environment specification.

Return type

garage.EnvSpec

property name(self)

Name of policy.

Returns

Name of policy

Return type

str

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