Class PWLGoal

A reward subfunction represented as a PWL function of some vector (typically the world state)

Instance Methods

__init__(self)

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addDependency(self, condition, tree=None)
Adds a new dependency to this subfunction

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toKey(self)

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reward(self, context, actions=[]) source code

float

_sign(self, value)
Applies the appropriate sign to a goal magnitude

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__str__(self)

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__hash__(self)

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__xml__(self)

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parse(self, element)

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Instance Variables

list dependency
set of decision trees that represent the reward subfunction over possible action triggers

Key[] keys
set of Key instances that this goal depends on

bool max
True iff this goal represents a positive incentive; otherwise, it is a disincentive (default is True)

Method Details

Adds a new dependency to this subfunction

Parameters:

condition (ActionCondition) - the trigger condition for this dependency
tree (ProbabilityTree) - the PWL function to compute when triggered (ignored if the condition is a counting one)

Applies the appropriate sign to a goal magnitude

Parameters:

Returns: float

the appropriately signed reward value