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#
{
"observation": {
"type": "Kinematics"
},
"action": {
"type": "DiscreteMetaAction",
},
"lanes_count": 4,
"vehicles_count": 50,
"duration": 40, # [s]
"initial_spacing": 2,
"collision_reward": -1, # The reward received when colliding with a vehicle.
"reward_speed_range": [20, 30], # [m/s] The reward for high speed is mapped linearly from this range to [0, HighwayEnv.HIGH_SPEED_REWARD].
"simulation_frequency": 15, # [Hz]
"policy_frequency": 1, # [Hz]
"other_vehicles_type": "highway_env.vehicle.behavior.IDMVehicle",
"screen_width": 600, # [px]
"screen_height": 150, # [px]
"centering_position": [0.3, 0.5],
"scaling": 5.5,
"show_trajectories": False,
"render_agent": True,
"offscreen_rendering": False
}
More specifically, it is defined in:
Faster variant#
A faster (x15 speedup) variant is also available with:
env = gym.make("highway-fast-v0")
The details of this variant are described here.
API#
- class highway_env.envs.highway_env.HighwayEnv(config: dict | None = None, render_mode: str | None = None)[source]#
A highway driving environment.
The vehicle is driving on a straight highway with several lanes, and is rewarded for reaching a high speed, staying on the rightmost lanes and avoiding collisions.