class_docstr: Policy that performs a fixed sequence of actions.
  
  Args:
      env_spec (garage.envs.env_spec.EnvSpec): Environment specification.
      scripted_actions (list[np.ndarray] or np.ndarray): Sequence of actions
          to perform.
      agent_infos (list[dict[str, np.ndarray]] or None): Sequence of
          agent_infos to produce.
class_docstr_tok: ["Policy","that","performs","a","fixed","sequence","of","actions",".","Args",":","env_spec","(","garage.envs.env_spec.EnvSpec",")",":","Environment","specification",".","scripted_actions","(","list","[","np.ndarray","]","or","np.ndarray",")",":","Sequence","of","actions","to","perform",".","agent_infos","(","list","[","dict","[","str",",","np.ndarray","]","]","or","None",")",":","Sequence","of","agent_infos","to","produce","."]
docstr: Set param values of policy.
  
  Args:
      params (object): Ignored.
docstr_tok: ["Set","param","values","of","policy",".","Args",":","params","(","object",")",":","Ignored","."]
code: def set_param_values(self, params):
      """Set param values of policy.
  
      Args:
          params (object): Ignored.
  
      """
      # pylint: disable=no-self-use
      del params
  
file_path: garage/src/garage/np/policies/fixed_policy.py
imports: import numpy
  from garage.np.policies.policy import Policy
label_desc: Use image node_id 3 for calling the FixedPolicy obj's underlying member method code with example usage: obj.set_param_values(params) without return types