How to use the learn2learn.gym.envs.meta_env.MetaEnv.__init__ function in learn2learn
To help you get started, we’ve selected a few learn2learn examples, based on popular ways it is used in public projects.
Secure your code as it's written. Use Snyk Code to scan source code in minutes - no build needed - and fix issues immediately.
learnables / learn2learn / learn2learn / gym / envs / mujoco / humanoid_forward_backward.py View on Github 
def __init__(self, task=None):
MetaEnv.__init__(self, task)
MujocoEnv.__init__(self, 'humanoid.xml', 5)
gym.utils.EzPickle.__init__(self)def __init__(self, task=None):
MetaEnv.__init__(self, task)
MujocoEnv.__init__(self, 'half_cheetah.xml', 5)
gym.utils.EzPickle.__init__(self)def __init__(self, task=None):
MetaEnv.__init__(self, task)
MujocoEnv.__init__(self, 'ant.xml', 5)
gym.utils.EzPickle.__init__(self)def __init__(self, task=None):
MetaEnv.__init__(self, task)
MujocoEnv.__init__(self, 'ant.xml', 5)
gym.utils.EzPickle.__init__(self)def __init__(self, task=None):
MetaEnv.__init__(self, task)
MujocoEnv.__init__(self, 'humanoid.xml', 5)
gym.utils.EzPickle.__init__(self)learn2learn
PyTorch Library for Meta-Learning Research
Package Health Score
45 / 100Popular learn2learn functions
- learn2learn.algorithms
- learn2learn.algorithms.MAML
- learn2learn.algorithms.maml.maml_update
- learn2learn.clone_module
- learn2learn.data
- learn2learn.data.MetaDataset
- learn2learn.data.TaskDataset
- learn2learn.data.TaskGenerator
- learn2learn.data.transforms
- learn2learn.data.transforms.ConsecutiveLabels
- learn2learn.data.transforms.KShots
- learn2learn.data.transforms.LoadData
- learn2learn.data.transforms.NWays
- learn2learn.data.transforms.RemapLabels
- learn2learn.gym.AsyncVectorEnv
- learn2learn.gym.envs.meta_env.MetaEnv
- learn2learn.gym.envs.meta_env.MetaEnv.__init__
- learn2learn.gym.envs.meta_env.MetaEnv.set_task
- learn2learn.vision
- learn2learn.vision.datasets.MiniImagenet