Struct gym_rs::PendulumEnv

pub struct PendulumEnv { /* fields omitted */ }

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

impl Debug for PendulumEnv

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for PendulumEnv

fn default() -> Self

Returns the “default value” for a type.

impl GymEnv for PendulumEnv

fn step(&mut self, action: ActionType) -> (Vec<f64>, f64, bool, Option<String>)

Run one timestep of the environment’s dynamics. When end of episode is reached, you you are responsible for calling ‘reset()’ to reset this environment’s state

fn reset(&mut self) -> Vec<f64>

Reset the environment to an initial state This function should not reset reset the environment’s random number generator(s) Returns the environments initial state

fn render(&self, render: &mut GifRender<'_>)

Render the environment

fn seed(&mut self, seed: u64)

Set the seed for this environments random number generator