class_docstr: Deterministic policy gradient objective (specification key: `det_policy_gradient`).
  
  Args:
      name (string): <span style="color:#0000C0"><b>internal use</b></span>.
      states_spec (specification): <span style="color:#0000C0"><b>internal use</b></span>.
      internals_spec (specification): <span style="color:#0000C0"><b>internal use</b></span>.
      auxiliaries_spec (specification): <span style="color:#0000C0"><b>internal use</b></span>.
      actions_spec (specification): <span style="color:#0000C0"><b>internal use</b></span>.
      reward_spec (specification): <span style="color:#0000C0"><b>internal use</b></span>.
code: def required_baseline_fns(self):
      return ("action_value",)
  
file_path: tensorforce/tensorforce/core/objectives/deterministic_policy_gradient.py
imports: import tensorflow
  from tensorforce import TensorforceError
  from tensorforce.core import TensorSpec, tf_function, tf_util
  from tensorforce.core.objectives import Objective
label_desc: Use image node_id 3 for calling the DeterministicPolicyGradient obj's underlying member method code with example usage: obj.required_baseline_fns() and returns: str