PomdpXReader#

class pgmpy.readwrite.PomdpXReader(path=None, string=None)[source]#

Bases: object

Initialize an instance of PomdpX reader class

Parameters:

pathfile or str: Path of the file containing PomdpX information.
stringstr: String containing PomdpX information.

get_description()[source]#

Return the problem description

Examples

>>> reader = PomdpXReader("Test_Pomdpx.xml")
>>> reader.get_description()
'RockSample problem for map size 1 x 3.
Rock is at 0, Rover’s initial position is at 1.
Exit is at 2.'
>>> reader = PomdpXReader("Test_PomdpX.xml")
>>> reader.get_description()
'RockSample problem for map size 1 x 3.
 Rock is at 0, Rover’s initial position is at 1.
 Exit is at 2.'

get_discount()[source]#: Returns the discount factor for the problem

get_initial_beliefs()[source]#

Returns the state, action and observation variables as a dictionary in the case of table type parameter and a nested structure in case of decision diagram parameter

Examples

>>> reader = PomdpXReader("Test_PomdpX.xml")
>>> reader.get_initial_beliefs()
[{'Var': 'rover_0',
  'Parent': ['null'],
  'Type': 'TBL',
  'Parameter': [{'Instance': ['-'],
  'ProbTable': ['0.0', '1.0', '0.0']}]
 },
 {'Var': '',
  '...': ...,'
  '...': '...',
  }]

get_obs_function()[source]#: Returns the observation function as nested dict in the case of table- type parameter and a nested structure in case of decision diagram parameter

get_parameter(var)[source]#: This method supports the functional tags by providing the actual values in the function as list of dict in case of table type parameter or as nested dict in case of decision diagram

get_parameter_dd(parameter)[source]#: This method returns parameters as nested dicts in case of decision diagram parameter.

get_parameter_tbl(parameter)[source]#: This method returns parameters as list of dict in case of table type parameter

get_reward_function()[source]#: Returns the reward function as nested dict in the case of table- type parameter and a nested structure in case of decision diagram parameter

get_state_transition_function()[source]#: Returns the transition of the state variables as nested dict in the case of table type parameter and a nested structure in case of decision diagram parameter

get_variables()[source]#: Returns list of variables of the network