[−][src]Trait coliseum::space::Space
Required methods
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impl Space<u32> for Discrete
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fn sample(self) -> u32
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Draws a random item from [0, u32]
fn contains(self, sample: u32) -> bool
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Checks if the sample is part of the set
impl<D, Shape> Space<ArrayBase<OwnedRepr<f64>, D>> for Box<D, Shape> where
D: Dimension,
Shape: ShapeBuilder<Dim = D>,
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D: Dimension,
Shape: ShapeBuilder<Dim = D>,
fn sample(self) -> ArrayBase<OwnedRepr<f64>, D>
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Samples using a uniform distribution with self.low and self.high. We should be able to return a different distribution based on the bounds in Box, e.g. Gym uses:
unbounded = ~self.bounded_below & ~self.bounded_above
upp_bounded = ~self.bounded_below & self.bounded_above
low_bounded = self.bounded_below & ~self.bounded_above
bounded = self.bounded_below & self.bounded_above
#### Vectorized sampling by interval type
sample[unbounded] = self.np_random.normal(
size=unbounded[unbounded].shape)
sample[low_bounded] = self.np_random.exponential(
size=low_bounded[low_bounded].shape) + self.low[low_bounded]
....
fn contains(self, sample: Array<f64, D>) -> bool
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Whether the sample exists in the Box