Useful Links:
Ray MAML Documentation: https://docs.ray.io/en/latest/rllib/rllib-algorithms.html?highlight=MAML#model-agnostic-meta-learning-maml
Half-Cheetah-RandDir: https://github.com/ray-project/ray/blob/46fecf93dd3987fd5dc8317600eb16addf3f2b5a/rllib/examples/env/halfcheetah_rand_direc.py#L5
Task Settable Env: https://github.com/ray-project/ray/blob/master/rllib/env/apis/task_settable_env.py
Ray MAML Github: https://github.com/ray-project/ray/tree/master/rllib/algorithms/maml
Ray Tune: https://docs.ray.io/en/releases-0.8.7/tune/api_docs/execution.html