docstr: take greedy actions
  Args:
      obs (np.ndarray):               (n_agents, obs_shape)
      available_actions (np.ndarray): (n_agents, n_actions)
  Returns:
      actions (np.ndarray):           (n_agents, )
docstr_tok: ["take","greedy","actions","Args",":","obs","(","np.ndarray",")",":","(","n_agents",",","obs_shape",")","available_actions","(","np.ndarray",")",":","(","n_agents",",","n_actions",")","Returns",":","actions","(","np.ndarray",")",":","(","n_agents",",",")"]
code: def predict(self, obs, available_actions):
      """take greedy actions
      Args:
          obs (np.ndarray):               (n_agents, obs_shape)
          available_actions (np.ndarray): (n_agents, n_actions)
      Returns:
          actions (np.ndarray):           (n_agents, )
      """
      feed = {
          "last_hidden_states": self.last_hidden_states,
          "obs": obs,
      }
      agents_q, self.last_hidden_states = self.fluid_executor.run(
          self.pred_program,
          feed=feed,
          fetch_list=[self.agents_q, self.current_hidden_states],
      )
      agents_q[available_actions == 0] = -1e10
      actions = np.argmax(agents_q, axis=1)
      return actions
  
file_path: PARL/benchmark/fluid/QMIX/qmix_agent.py
imports: import parl
  from parl import layers
  import paddle.fluid
  import numpy
  from utils import AvailableActionsSampler
  from parl.utils import machine_info
label_desc: Use image node_id 6 for calling the QMixAgent obj's underlying member method code with example usage: obj.predict(obs, available_actions) and returns: actions