WebDec 6, 2024 · Hi, I am running intersection_social_dqn.ipynb, I have train the dqn model, but when I want to test, I cannot get the mp4 video. I add the command img = env.render(mode='rgb_array') as in the picture, but I still cannot get the video. Ne... WebMake your own environment - highway-env Documentation Make your own environment # Here are the steps required to create a new environment. Note Pull requests are welcome! Set up files # Create a new your_env.py file in highway_env/envs/ Define a class YourEnv, that must inherit from AbstractEnv This class provides several useful functions:
would like to observe the image of each agent keep the center ... - Github
WebMay 26, 2024 · This should work. HOWEVER, this is manual control for the default action type, which is DiscreteMetaAction. You can use the Left and Right arrows to control the vehicle target speed, and usually you can change lanes with Up and Down, but in this environment there is only a single lane that the agent, so these actions have no effect. Webclass highway_env.envs.common.action.DiscreteMetaAction(env: AbstractEnv, longitudinal: bool = True, lateral: bool = True, target_speeds: Optional[Union[ndarray, Sequence[float]]] = None, **kwargs) [source] ¶ An discrete action space of meta-actions: lane changes, and cruise control set-point. fiyero in wicked movie
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WebThe main implementations are: StraightLane SineLane CircularLane API # class highway_env.road.lane.AbstractLane [source] # A lane on the road, described by its central curve. metaclass__ # alias of ABCMeta abstract position(longitudinal: float, lateral: float) → ndarray [source] # Convert local lane coordinates to a world position. Parameters: WebHighway Edit on GitHub Highway ¶ In this task, the ego-vehicle is driving on a multilane highway populated with other vehicles. The agent’s objective is to reach a high speed while avoiding collisions with neighbouring vehicles. Driving on the right side of the road is also rewarded. Usage ¶ env = gym.make("highway-v0") Default configuration ¶ Webfrom abc import abstractmethod from typing import Optional from gymnasium import Env import numpy as np from highway_env.envs.common.abstract import AbstractEnv from highway_env.envs.common.observation import MultiAgentObservation, observation_factory from highway_env.road.lane import StraightLane, LineType from highway_env.road.road … fiyfff