code: def train_batch(self, batch_info: BatchInfo) -> None:
          
          # For each reinforcer batch:
  
          # 1. Roll out environment and store out experience in the buffer
          self.roll_out_and_store(batch_info)
  
          # 2. Sample the buffer and train the algo on sample batch
          self.train_on_replay_memory(batch_info)
docs: Batch - the most atomic unit of learning.
  
          For this reinforforcer, that involves:
  
          1. Roll out environment and store out experience in the buffer
          2. Sample the buffer and train the algo on sample batch