PoliciesMultiPlayers.CentralizedFixed module

CentralizedFixed: a multi-player policy which uses a centralized intelligence to affect users to a FIXED arm.

• It allows to have absolutely no collision, if there is more channels than users (always assumed).
• But it is NOT fair on ONE run: the best arm is played only by one player.
• Note that in average, it is fair (who plays the best arm is randomly decided).
• Note that it is NOT affecting players on the best arms: it has no knowledge of the means of the arms, only of the number of arms nbArms.

class PoliciesMultiPlayers.CentralizedFixed.Fixed(nbArms, armIndex, lower=0.0, amplitude=1.0)

Bases: PoliciesMultiPlayers.BaseCentralizedPolicy.BaseCentralizedPolicy

Fixed: always select a fixed arm, as decided by the CentralizedFixed multi-player policy.

__init__(nbArms, armIndex, lower=0.0, amplitude=1.0)

Fixed on this arm.

nbArms = None

Number of arms

armIndex = None

Index of the fixed arm

__str__()

Return str(self).

startGame()

Nothing to do.

getReward(arm, reward)

Nothing to do.

choice()

Chose fixed arm.

__module__ = 'PoliciesMultiPlayers.CentralizedFixed'

class PoliciesMultiPlayers.CentralizedFixed.CentralizedFixed(nbPlayers, nbArms)

Bases: PoliciesMultiPlayers.BaseMPPolicy.BaseMPPolicy

CentralizedFixed: a multi-player policy which uses a centralized intelligence to affect users to a FIXED arm.

__init__(nbPlayers, nbArms)

• nbPlayers: number of players to create (in self._players).
• nbArms: number of arms.

Examples:

>>> import random; random.seed(0); import numpy as np; np.random.seed(0)
>>> s = CentralizedFixed(2, 3)
>>> [ child.choice() for child in s.children ]
[2, 1]
>>> [ child.choice() for child in s.children ]
[2, 1]

>>> import random; random.seed(0); import numpy as np; np.random.seed(0)
>>> s = CentralizedFixed(4, 8)
>>> [ child.choice() for child in s.children ]
[7, 6, 1, 2]
>>> [ child.choice() for child in s.children ]
[7, 6, 1, 2]

>>> s = CentralizedFixed(10, 14)

• To get a list of usable players, use s.children.
• Warning: s._players is for internal use

nbPlayers = None

Number of players

nbArms = None

Number of arms

children = None

List of children, fake algorithms

__str__()

Return str(self).

_printNbCollisions()

Print number of collisions.

_startGame_one(playerId)

Pass the call to the player algorithm.

_getReward_one(playerId, arm, reward)

Pass the call to the player algorithm.

__module__ = 'PoliciesMultiPlayers.CentralizedFixed'

_choice_one(playerId)

Pass the call to the player algorithm.