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