PyFlyt/Rocket-Landing-v2

Task Description

The goal of this environment is to land a rocket falling at terminal velocity on a landing pad, with only 1% of fuel remaining.

Usage

import gymnasium
import PyFlyt.gym_envs

env = gymnasium.make("PyFlyt/Rocket-Landing-v2", render_mode="human")

term, trunc = False, False
obs, _ = env.reset()
while not (term or trunc):
    obs, rew, term, trunc, _ = env.step(env.action_space.sample())

Environment Options

class PyFlyt.gym_envs.rocket_envs.rocket_landing_env.RocketLandingEnv(sparse_reward: bool = False, ceiling: float = 500.0, max_displacement: float = 200.0, max_duration_seconds: float = 30.0, angle_representation: Literal['euler', 'quaternion'] = 'quaternion', agent_hz: int = 40, render_mode: None | Literal['human', 'rgb_array'] = None, render_resolution: tuple[int, int] = (480, 480))

Rocket Landing Environment.

Actions are finlet_x, finlet_y, finlet_roll, booster ignition, throttle, booster gimbal x, booster gimbal y The goal is to land the rocket on the landing pad.

Args:

sparse_reward (bool): whether to use sparse rewards or not. ceiling (float): the absolute ceiling of the flying area. max_displacement (float): the maximum horizontal distance the rocket can go. max_duration_seconds (float): maximum simulation time of the environment. angle_representation (Literal[“euler”, “quaternion”]): can be “euler” or “quaternion”. agent_hz (int): looprate of the agent to environment interaction. render_mode (None | Literal[“human”, “rgb_array”]): render_mode render_resolution (tuple[int, int]): render_resolution.