def __init__(self, env_name='gym_dfwalker2d', rand_seed=0, misc_info=None):
super(DelayedWalker, self).__init__(env_name, rand_seed, misc_info)
self._base_path = init_path.get_abs_base_dir()
self._use_pets_reward = 'pets' in misc_info and misc_info['pets']
self._len_qpos, self._len_qvel = \
env_util.get_gym_q_info(self._env, self._current_version)
self._done_counter = -1
# return the reset as the gym?
if 'reset_type' in misc_info and misc_info['reset_type'] == 'gym':
self._reset_return_obs_only = True
self.observation_space, self.action_space = \
self._env.observation_space, self._env.action_space
# it's possible some environments have different obs
self.observation_space = \
env_util.box(self._env_info['ob_size'], -1, 1)
else:
self._reset_return_obs_only = False
if 'no_termination' in misc_info and misc_info['no_termination']:
self._no_termination = True
else:
self._no_termination = False
def __init__(self,
env_name='gym_petsCheetah',
rand_seed=0,
misc_info=None):
super(Pets, self).__init__(env_name, rand_seed, misc_info)
self._base_path = init_path.get_abs_base_dir()
# return the reset as the gym?
if 'reset_type' in misc_info and misc_info['reset_type'] == 'gym':
self._reset_return_obs_only = True
self.observation_space, self.action_space = \
self._env.observation_space, self._env.action_space
# it's possible some environments have different obs
self.observation_space = \
env_util.box(self._env_info['ob_size'], -1, 1)
else:
self._reset_return_obs_only = False
def __init__(self, env_name='gym_lunar_lander', rand_seed=0, misc_info=None):
super(LunarLander, self).__init__(env_name, rand_seed, misc_info)
self._base_path = init_path.get_abs_base_dir()