PyFlyt/QuadX-Hover-v3#

https://raw.githubusercontent.com/jjshoots/PyFlyt/master/readme_assets/quadx_hover.gif

Task Description#

The goal of this environment is to hover a quadrotor drone for as long as possible.

Usage#

import gymnasium
import PyFlyt.gym_envs

env = gymnasium.make("PyFlyt/QuadX-Hover-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.quadx_envs.quadx_hover_env.QuadXHoverEnv(sparse_reward: bool = False, flight_mode: int = 0, flight_dome_size: float = 3.0, max_duration_seconds: float = 10.0, 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))#

Simple Hover Environment.

Actions are vp, vq, vr, T, ie: angular rates and thrust. The target is to not crash for the longest time possible.

Parameters:

  • sparse_reward (bool) – whether to use sparse rewards or not.

  • flight_mode (int) – the flight mode of the UAV

  • flight_dome_size (float) – size of the allowable flying area.

  • 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.