habitat.gym.gym_wrapper.HabGymWrapper class

Class methods

def class_name()

Methods

def close(self)

def current_episode(self, all_info: bool = False) -> BaseEpisode

def render(self, mode: str = 'human', **kwargs)

def reset(self, *args, return_info: bool = False, **kwargs) -> typing.Union[numpy.ndarray, typing.Dict[str, numpy.ndarray], typing.Tuple[typing.Union[numpy.ndarray, typing.Dict[str, numpy.ndarray]], dict]]

def seed(self, seed = None)

def step(self, action: typing.Union[numpy.ndarray, int]) -> typing.Tuple[typing.Union[numpy.ndarray, typing.Dict[str, numpy.ndarray]], float, bool, dict]

Special methods

def __enter__(self)

Support with-statement for the environment.

def __exit__(self, *args)

Support with-statement for the environment.

def __getattr__(self, name)

def __init__(self, env: RLEnv, save_orig_obs: bool = False)

def __repr__(self)

def __str__(self)

Properties

action_space get set

metadata: dict get set

np_random: gym.utils.seeding.RandomNumberGenerator get set

Initializes the np_random field if not done already.

number_of_episodes: int get

observation_space: gym.spaces.space.Space get set

reward_range: tuple get set

spec get

unwrapped: RLEnv get