class_docstr: Creates a new worker and runs it in a separate process.
class_docstr_tok: ["Creates","a","new","worker","and","runs","it","in","a","separate","process","."]
code: def __init__(self, seed):
      self.child, parent = multiprocessing.Pipe()
      self.process = multiprocessing.Process(
          target=worker_process, args=(parent, seed)
      )
      self.process.start()
  
file_path: annotated_deep_learning_paper_implementations/labml_nn/rl/game.py
imports: import multiprocessing
  import multiprocessing.connection
  import cv2
  import gym
  import numpy
label_desc: Use image node_id 1 to create a new Worker object  with example: obj = Worker(seed)