class_docstr: Mixin for TorchPolicy that adds entropy coeff decay.
class_docstr_tok: ["Mixin","for","TorchPolicy","that","adds","entropy","coeff","decay","."]
code: def on_global_var_update(self, global_vars):
      super(EntropyCoeffSchedule, self).on_global_var_update(
          global_vars
      )
      if self._entropy_coeff_schedule is not None:
          self.entropy_coeff = self._entropy_coeff_schedule.value(
              global_vars["timestep"]
          )
  
imports: from ray.rllib.policy.policy import Policy, PolicyState
  from ray.rllib.policy.sample_batch import SampleBatch
  from ray.rllib.policy.torch_policy import TorchPolicy
  from ray.rllib.utils.annotations import DeveloperAPI, override
  from ray.rllib.utils.framework import try_import_torch
  from ray.rllib.utils.schedules import PiecewiseSchedule
label_desc: Use image node_id 2 for calling the EntropyCoeffSchedule obj's underlying member method code with example usage: obj.on_global_var_update(global_vars) without return types