DummyCartPolePolicy

class maze.core.agent.dummy_cartpole_policy.DummyCartPolePolicy

Dummy structured policy for the CartPole env.

Useful mainly for showcase of the config scheme and for testing.

compute_action(observation: Dict[str, numpy.ndarray], maze_state: Any | None = None, env: BaseEnv | None = None, actor_id: ActorID | None = None, deterministic: bool = False) → Dict[str, int | numpy.ndarray]

(overrides Policy)

Sample an action.

compute_top_action_candidates(observation: Dict[str, numpy.ndarray], num_candidates: int | None, maze_state: Any | None, env: BaseEnv | None, actor_id: ActorID | None = None) → Tuple[Sequence[Dict[str, int | numpy.ndarray]], Sequence[float]]

(overrides Policy)

implementation of Policy interface

needs_state() → bool

(overrides Policy)

This policy does not require the state() object to compute the action.

seed(seed: int) → None

Not applicable since heuristic is deterministic