docstr: Predict action
  Args:
      obs (torch.tensor): observation
  Return:
      action (torch.tensor): actions of the highest probability
docstr_tok: ["Predict","action","Args",":","obs","(","torch.tensor",")",":","observation","Return",":","action","(","torch.tensor",")",":","actions","of","the","highest","probability"]
code: def predict(self, obs):
      """Predict action
      Args:
          obs (torch.tensor): observation
      Return:
          action (torch.tensor): actions of the highest probability
      """
      with torch.no_grad():
          action_probs = self.actor(obs)
      return action_probs.argmax(1)
  
file_path: PARL/examples/Baselines/Halite_competition/torch/rl_trainer/algorithm.py
imports: import torch
  import torch.nn
  import torch.optim
  import parl
  from torch.distributions import Categorical
label_desc: Use image node_id 4 for calling the PPO obj's underlying member method code with example usage: obj.predict(obs) and returns: action_probs