class_docstr: Dummy algo for test.
  
  Args:
      env_spec (garage.envs.EnvSpec): Environment specification.
      policy (garage.np.policies.Policy): Policy.
      baseline (garage.np.baselines.Baseline): The baseline.
class_docstr_tok: ["Dummy","algo","for","test",".","Args",":","env_spec","(","garage.envs.EnvSpec",")",":","Environment","specification",".","policy","(","garage.np.policies.Policy",")",":","Policy",".","baseline","(","garage.np.baselines.Baseline",")",":","The","baseline","."]
docstr: Obtain samplers and start actual training for each epoch.
  
  See garage.np.algos.RLAlgorithm train().
  
  Args:
      trainer (Trainer): Trainer is passed to give algorithm
          the access to trainer.step_epochs(), which provides services
          such as snapshotting and sampler control.
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code: def train(self, trainer):
      """Obtain samplers and start actual training for each epoch.
  
      See garage.np.algos.RLAlgorithm train().
  
      Args:
          trainer (Trainer): Trainer is passed to give algorithm
              the access to trainer.step_epochs(), which provides services
              such as snapshotting and sampler control.
  
      """
  
imports: from garage.np.algos import RLAlgorithm
label_desc: Use image node_id 2 for calling the DummyAlgo obj's underlying member method code with example usage: obj.train(trainer) without return types