garage.envs.grid_world_env module¶
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class
GridWorldEnv(desc='4x4')[source]¶ Bases:
gym.core.Env‘S’ : starting point‘F’ or ‘.’: free space‘W’ or ‘x’: wall‘H’ or ‘o’: hole (terminates episode)‘G’ : goal-
static
action_from_direction(d)[source]¶ Return the action corresponding to the given direction. This is a helper method for debugging and testing purposes. :return: the action index corresponding to the given direction
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action_space¶
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get_possible_next_states(state, action)[source]¶ Given the state and action, return a list of possible next states and their probabilities. Only next states with nonzero probabilities will be returned :param state: start state :param action: action :return: a list of pairs (s’, p(s’|s,a))
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observation_space¶
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render(mode='human')[source]¶ Renders the environment.
The set of supported modes varies per environment. (And some environments do not support rendering at all.) By convention, if mode is:
- human: render to the current display or terminal and return nothing. Usually for human consumption.
- rgb_array: Return an numpy.ndarray with shape (x, y, 3), representing RGB values for an x-by-y pixel image, suitable for turning into a video.
- ansi: Return a string (str) or StringIO.StringIO containing a terminal-style text representation. The text can include newlines and ANSI escape sequences (e.g. for colors).
Note
- Make sure that your class’s metadata ‘render.modes’ key includes
- the list of supported modes. It’s recommended to call super() in implementations to use the functionality of this method.
Parameters: mode (str) – the mode to render with Example:
- class MyEnv(Env):
metadata = {‘render.modes’: [‘human’, ‘rgb_array’]}
- def render(self, mode=’human’):
- if mode == ‘rgb_array’:
- return np.array(…) # return RGB frame suitable for video
- elif mode == ‘human’:
- … # pop up a window and render
- else:
- super(MyEnv, self).render(mode=mode) # just raise an exception
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static