Struct gym_rs::PendulumEnv [−][src]
Description: The inverted pendulum swingup problem is a classic problem in the control literature. In this version of the problem, the pendulum starts in a random position, and the goal is to swing it up so it stays upright.
Source: OpenAI’s Gym Python implementation
Observation Num Observation Min Max 0 Cosine of theta -1.0 1.0 1 Sine of theta -1.0 1.0 2 pendulum velocity -Inf Inf
Actions: Continuous action in range [-max_torque, max_torque] = [-2.0, 2.0]
Trait Implementations
Auto Trait Implementations
impl RefUnwindSafe for PendulumEnv
impl Send for PendulumEnv
impl Sync for PendulumEnv
impl Unpin for PendulumEnv
impl UnwindSafe for PendulumEnv
Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
pub fn borrow_mut(&mut self) -> &mut T
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impl<T> From<T> for T
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impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T> SetParameter for T
pub fn set<T>(&mut self, value: T) -> <T as Parameter<Self>>::Result where
T: Parameter<Self>,
T: Parameter<Self>,
impl<T, U> TryFrom<U> for T where
U: Into<T>,
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U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
pub fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,
type Error = <U as TryFrom<T>>::Error
The type returned in the event of a conversion error.
pub fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>
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impl<V, T> VZip<V> for T where
V: MultiLane<T>,
V: MultiLane<T>,