docstr: Predict state value
  Args:
      obs (torch.tensor): observation
  Return:
      value (torch.tensor): the predicted state value
docstr_tok: ["Predict","state","value","Args",":","obs","(","torch.tensor",")",":","observation","Return",":","value","(","torch.tensor",")",":","the","predicted","state","value"]
code: def value(self, obs):
      """Predict state value
      Args:
          obs (torch.tensor): observation
      Return:
          value (torch.tensor): the predicted state value
      """
      with torch.no_grad():
          value = self.critic(obs)
      return value
  
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 5 for calling the PPO obj's underlying member method code with example usage: obj.value(obs) and returns: value