def __init__(self, env_name, rand_seed, misc_info):
super(env, 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, rand_seed, misc_info):
super(env, 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)
# 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 self._env_name == 'gym_cheetahO01':
self._action_noise = 0.0
self._ob_noise = 0.1
elif self._env_name == 'gym_cheetahO001':
self._action_noise = 0.0
self._ob_noise = 0.01
elif self._env_name == 'gym_cheetahA01':
self._action_noise = 0.1
self._ob_noise = 0.0
elif self._env_name == 'gym_cheetahA003':
self._action_noise = 0.03
self._ob_noise = 0.0
def __init__(self, env_name, rand_seed, misc_info):
super(env, 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, rand_seed, misc_info):
assert env_name in ['gym_humanoid', 'gym_slimhumanoid', 'gym_nostopslimhumanoid']
super(env, self).__init__(env_name, rand_seed, misc_info)
self._base_path = init_path.get_abs_base_dir()
self._len_qpos, self._len_qvel = \
env_util.get_gym_q_info(self._env, self._current_version)
# 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, rand_seed, misc_info):
super(env, 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.action_space = spaces.Box(
low=np.array([-1.0]),
high=np.array([1.0]), # dtype=np.float32
)
self.observation_space = \
env_util.box(self._env_info['ob_size'], -1, 1)
else:
self._reset_return_obs_only = False
if self._env_name == 'gym_cartpoleO001':
self._ob_noise = 0.01
elif self._env_name == 'gym_cartpoleO01':
self._ob_noise = 0.1
def __init__(self, env_name, rand_seed, misc_info):
super(env, 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)
# note: we always set the action to range with in [-1, 1]
self.action_space.low[:] = -1.0
self.action_space.high[:] = 1.0
else:
self._reset_return_obs_only = False
if self._env_name == 'gym_pendulumO001':
self._ob_noise = 0.01
elif self._env_name == 'gym_pendulumO01':
self._ob_noise = 0.1
