class_docstr: Head module for a deterministic policy.
class_docstr_tok: ["Head","module","for","a","deterministic","policy","."]
code: def forward(self, loc):
      return torch.distributions.Independent(Delta(loc=loc), 1)
  
imports: import torch
  from torch import nn
  from pfrl.distributions import Delta
label_desc: Use image node_id 1 for calling the DeterministicHead obj's underlying member method code with example usage: obj.forward(loc) and returns: torch