TestingLab.py

from rllab.envs.base import Env
from rllab.envs.base import Step
from rllab.spaces import Box
import numpy as np


class PointEnv(Env):
    @property
    def observation_space(self):
        return Box(low=-np.inf, high=-np.inf, shape=(2,))

    @property
    def action_space(self):
        return Box(low=-0.1, high=0.1, shape=(2,))

    def reset(self):
        self._state = np.random.uniform(-1,1, size=(2,))
        observation = np.copy(self._state)
        return observation

    def step(self, action):
        self._state = self._state + action
        x, y = self._state
        reward = - (x**2 + y**2)**0.5
        done = abs(x)<0.01 and abs(y) < 0.01
        next_observation = np.copy(self._state)
        return Step(observation=next_observation, reward=reward, done=done)

    def render(self):
        print("Current State: ", self._state)