mdp_playground.spaces.box_extended.BoxExtended¶
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class
mdp_playground.spaces.box_extended.BoxExtended(low, high, shape=None, dtype=<class 'numpy.float32'>, seed=None)[source]¶ Bases:
gym.spaces.box.Box-
__init__(low, high, shape=None, dtype=<class 'numpy.float32'>, seed=None)[source]¶ Initialize self. See help(type(self)) for accurate signature.
Methods
__init__(low, high[, shape, dtype, seed])Initialize self.
contains(x)Return boolean specifying if x is a valid member of this space
from_jsonable(sample_n)Convert a JSONable data type to a batch of samples from this space.
is_bounded([manner])sample()Generates a single random sample inside of the Box.
seed([seed])Seed the PRNG of this space.
to_jsonable(sample_n)Convert a batch of samples from this space to a JSONable data type.
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contains(x)¶ Return boolean specifying if x is a valid member of this space
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from_jsonable(sample_n)¶ Convert a JSONable data type to a batch of samples from this space.
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sample()¶ Generates a single random sample inside of the Box.
In creating a sample of the box, each coordinate is sampled according to the form of the interval:
[a, b] : uniform distribution
[a, oo) : shifted exponential distribution
(-oo, b] : shifted negative exponential distribution
(-oo, oo) : normal distribution
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seed(seed=None)¶ Seed the PRNG of this space.
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to_jsonable(sample_n)¶ Convert a batch of samples from this space to a JSONable data type.
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