code: def training(
      self,
      *,
      use_gae: Optional[bool] = NotProvided,
      lambda_: Optional[float] = NotProvided,
      kl_coeff: Optional[float] = NotProvided,
      vf_loss_coeff: Optional[float] = NotProvided,
      entropy_coeff: Optional[float] = NotProvided,
      clip_param: Optional[float] = NotProvided,
      vf_clip_param: Optional[float] = NotProvided,
      grad_clip: Optional[float] = NotProvided,
      kl_target: Optional[float] = NotProvided,
      inner_adaptation_steps: Optional[int] = NotProvided,
      maml_optimizer_steps: Optional[int] = NotProvided,
      inner_lr: Optional[float] = NotProvided,
      use_meta_env: Optional[bool] = NotProvided,
      **kwargs,
  ) -> "MAMLConfig":
      super().training(**kwargs)
  
      if use_gae is not NotProvided:
          self.use_gae = use_gae
      if lambda_ is not NotProvided:
          self.lambda_ = lambda_
      if kl_coeff is not NotProvided:
          self.kl_coeff = kl_coeff
      if vf_loss_coeff is not NotProvided:
          self.vf_loss_coeff = vf_loss_coeff
      if entropy_coeff is not NotProvided:
          self.entropy_coeff = entropy_coeff
      if clip_param is not NotProvided:
          self.clip_param = clip_param
      if vf_clip_param is not NotProvided:
          self.vf_clip_param = vf_clip_param
      if grad_clip is not NotProvided:
          self.grad_clip = grad_clip
      if kl_target is not NotProvided:
          self.kl_target = kl_target
      if inner_adaptation_steps is not NotProvided:
          self.inner_adaptation_steps = inner_adaptation_steps
      if maml_optimizer_steps is not NotProvided:
          self.maml_optimizer_steps = maml_optimizer_steps
      if inner_lr is not NotProvided:
          self.inner_lr = inner_lr
      if use_meta_env is not NotProvided:
          self.use_meta_env = use_meta_env
  
      return self
  
file_path: ray/rllib/algorithms/maml/maml.py
imports: from typing import Optional
  from ray.rllib.algorithms.algorithm import Algorithm
  from ray.rllib.algorithms.algorithm_config import AlgorithmConfig, NotProvided
  from ray.rllib.utils.annotations import override
  from ray.rllib.utils.deprecation import DEPRECATED_VALUE, Deprecated, ALGO_DEPRECATION_WARNING
label_desc: Use image node_id 2 for calling the MAMLConfig obj's underlying member method code with example usage: obj.training() and returns: self