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Gymnasium/gym/envs/classic_control/mountain_car.py
2021-07-28 20:26:34 -04:00

178 lines
6.0 KiB
Python

"""
http://incompleteideas.net/MountainCar/MountainCar1.cp
permalink: https://perma.cc/6Z2N-PFWC
"""
import math
import numpy as np
import gym
from gym import spaces
from gym.utils import seeding
class MountainCarEnv(gym.Env):
"""
Description:
The agent (a car) is started at the bottom of a valley. For any given
state the agent may choose to accelerate to the left, right or cease
any acceleration.
Source:
The environment appeared first in Andrew Moore's PhD Thesis (1990).
Observation:
Type: Box(2)
Num Observation Min Max
0 Car Position -1.2 0.6
1 Car Velocity -0.07 0.07
Actions:
Type: Discrete(3)
Num Action
0 Accelerate to the Left
1 Don't accelerate
2 Accelerate to the Right
Note: This does not affect the amount of velocity affected by the
gravitational pull acting on the car.
Reward:
Reward of 0 is awarded if the agent reached the flag (position = 0.5)
on top of the mountain.
Reward of -1 is awarded if the position of the agent is less than 0.5.
Starting State:
The position of the car is assigned a uniform random value in
[-0.6 , -0.4].
The starting velocity of the car is always assigned to 0.
Episode Termination:
The car position is more than 0.5
Episode length is greater than 200
"""
metadata = {"render.modes": ["human", "rgb_array"], "video.frames_per_second": 30}
def __init__(self, goal_velocity=0):
self.min_position = -1.2
self.max_position = 0.6
self.max_speed = 0.07
self.goal_position = 0.5
self.goal_velocity = goal_velocity
self.force = 0.001
self.gravity = 0.0025
self.low = np.array([self.min_position, -self.max_speed], dtype=np.float32)
self.high = np.array([self.max_position, self.max_speed], dtype=np.float32)
self.viewer = None
self.action_space = spaces.Discrete(3)
self.observation_space = spaces.Box(self.low, self.high, dtype=np.float32)
self.seed()
def seed(self, seed=None):
self.np_random, seed = seeding.np_random(seed)
return [seed]
def step(self, action):
assert self.action_space.contains(action), "%r (%s) invalid" % (
action,
type(action),
)
position, velocity = self.state
velocity += (action - 1) * self.force + math.cos(3 * position) * (-self.gravity)
velocity = np.clip(velocity, -self.max_speed, self.max_speed)
position += velocity
position = np.clip(position, self.min_position, self.max_position)
if position == self.min_position and velocity < 0:
velocity = 0
done = bool(position >= self.goal_position and velocity >= self.goal_velocity)
reward = -1.0
self.state = (position, velocity)
return np.array(self.state), reward, done, {}
def reset(self):
self.state = np.array([self.np_random.uniform(low=-0.6, high=-0.4), 0])
return np.array(self.state)
def _height(self, xs):
return np.sin(3 * xs) * 0.45 + 0.55
def render(self, mode="human"):
screen_width = 600
screen_height = 400
world_width = self.max_position - self.min_position
scale = screen_width / world_width
carwidth = 40
carheight = 20
if self.viewer is None:
from gym.envs.classic_control import rendering
self.viewer = rendering.Viewer(screen_width, screen_height)
xs = np.linspace(self.min_position, self.max_position, 100)
ys = self._height(xs)
xys = list(zip((xs - self.min_position) * scale, ys * scale))
self.track = rendering.make_polyline(xys)
self.track.set_linewidth(4)
self.viewer.add_geom(self.track)
clearance = 10
l, r, t, b = -carwidth / 2, carwidth / 2, carheight, 0
car = rendering.FilledPolygon([(l, b), (l, t), (r, t), (r, b)])
car.add_attr(rendering.Transform(translation=(0, clearance)))
self.cartrans = rendering.Transform()
car.add_attr(self.cartrans)
self.viewer.add_geom(car)
frontwheel = rendering.make_circle(carheight / 2.5)
frontwheel.set_color(0.5, 0.5, 0.5)
frontwheel.add_attr(
rendering.Transform(translation=(carwidth / 4, clearance))
)
frontwheel.add_attr(self.cartrans)
self.viewer.add_geom(frontwheel)
backwheel = rendering.make_circle(carheight / 2.5)
backwheel.add_attr(
rendering.Transform(translation=(-carwidth / 4, clearance))
)
backwheel.add_attr(self.cartrans)
backwheel.set_color(0.5, 0.5, 0.5)
self.viewer.add_geom(backwheel)
flagx = (self.goal_position - self.min_position) * scale
flagy1 = self._height(self.goal_position) * scale
flagy2 = flagy1 + 50
flagpole = rendering.Line((flagx, flagy1), (flagx, flagy2))
self.viewer.add_geom(flagpole)
flag = rendering.FilledPolygon(
[(flagx, flagy2), (flagx, flagy2 - 10), (flagx + 25, flagy2 - 5)]
)
flag.set_color(0.8, 0.8, 0)
self.viewer.add_geom(flag)
pos = self.state[0]
self.cartrans.set_translation(
(pos - self.min_position) * scale, self._height(pos) * scale
)
self.cartrans.set_rotation(math.cos(3 * pos))
return self.viewer.render(return_rgb_array=mode == "rgb_array")
def get_keys_to_action(self):
# Control with left and right arrow keys.
return {(): 1, (276,): 0, (275,): 2, (275, 276): 1}
def close(self):
if self.viewer:
self.viewer.close()
self.viewer = None