colosseum.emission_maps.tabular 

 1from typing import TYPE_CHECKING
 2
 3import numpy as np
 4
 5from colosseum.emission_maps.base import EmissionMap
 6
 7if TYPE_CHECKING:
 8    from colosseum.mdp import BaseMDP, NODE_TYPE
 9
10
11class Tabular(EmissionMap):
12    """
13    The `Tabular` emission map is just the tabular mapping.
14    """
15
16    @property
17    def is_tabular(self) -> bool:
18        return True
19
20    def __init__(self, mdp: "BaseMDP"):
21        super(Tabular, self).__init__(mdp, None, None)
22        self._mdp = mdp
23        self._cached_obs = dict()
24
25    def node_to_observation(
26        self, node: "NODE_TYPE", in_episode_time: int = None
27    ) -> np.ndarray:
28        raise NotImplementedError()
29
30    def get_observation(
31        self, state: "NODE_TYPE", in_episode_time: int = None
32    ) -> np.ndarray:
33        raise NotImplementedError()
class Tabular(colosseum.emission_maps.base.EmissionMap): 
12class Tabular(EmissionMap):
13    """
14    The `Tabular` emission map is just the tabular mapping.
15    """
16
17    @property
18    def is_tabular(self) -> bool:
19        return True
20
21    def __init__(self, mdp: "BaseMDP"):
22        super(Tabular, self).__init__(mdp, None, None)
23        self._mdp = mdp
24        self._cached_obs = dict()
25
26    def node_to_observation(
27        self, node: "NODE_TYPE", in_episode_time: int = None
28    ) -> np.ndarray:
29        raise NotImplementedError()
30
31    def get_observation(
32        self, state: "NODE_TYPE", in_episode_time: int = None
33    ) -> np.ndarray:
34        raise NotImplementedError()

The Tabular emission map is just the tabular mapping.

Tabular(mdp: colosseum.mdp.base.BaseMDP) 
21    def __init__(self, mdp: "BaseMDP"):
22        super(Tabular, self).__init__(mdp, None, None)
23        self._mdp = mdp
24        self._cached_obs = dict()
Parameters
  • mdp (BaseMDP): The tabular MDP.
  • noise_class (Type["Noise"]): The noise that renders the emission map stochastic.
  • noise_kwargs (Dict[str, Any]): The parameters for the noise class.
is_tabular: bool
Returns
  • bool: The boolean for whether the emission map is tabular.
def node_to_observation( self, node: Union[colosseum.mdp.custom_mdp.CustomNode, colosseum.mdp.river_swim.base.RiverSwimNode, colosseum.mdp.deep_sea.base.DeepSeaNode, colosseum.mdp.frozen_lake.base.FrozenLakeNode, colosseum.mdp.simple_grid.base.SimpleGridNode, colosseum.mdp.minigrid_empty.base.MiniGridEmptyNode, colosseum.mdp.minigrid_rooms.base.MiniGridRoomsNode, colosseum.mdp.taxi.base.TaxiNode], in_episode_time: int = None) -> numpy.ndarray: 
26    def node_to_observation(
27        self, node: "NODE_TYPE", in_episode_time: int = None
28    ) -> np.ndarray:
29        raise NotImplementedError()
Returns
  • np.ndarray: The non-tabular representation corresponding to the state given in input. Episodic MDPs also requires the current in-episode time step.
def get_observation( self, state: Union[colosseum.mdp.custom_mdp.CustomNode, colosseum.mdp.river_swim.base.RiverSwimNode, colosseum.mdp.deep_sea.base.DeepSeaNode, colosseum.mdp.frozen_lake.base.FrozenLakeNode, colosseum.mdp.simple_grid.base.SimpleGridNode, colosseum.mdp.minigrid_empty.base.MiniGridEmptyNode, colosseum.mdp.minigrid_rooms.base.MiniGridRoomsNode, colosseum.mdp.taxi.base.TaxiNode], in_episode_time: int = None) -> numpy.ndarray: 
31    def get_observation(
32        self, state: "NODE_TYPE", in_episode_time: int = None
33    ) -> np.ndarray:
34        raise NotImplementedError()

computes the observation numpy array corresponding to the state in input.

Parameters
  • state (NODE_TYPE): The state for which we are computing the observation.
  • in_episode_time (int): The in episode time. It is ignored in the continuous setting, and, by default, it is set to None.
Returns
  • np.ndarray: The observation.
Inherited Members
colosseum.emission_maps.base.EmissionMap
shape
all_observations