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Jun 25th, 2018
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  1. # Get Q values for next_state
  2. Qs_next_state = sess.run(TargetNetwork.output, feed_dict = {TargetNetwork.inputs_: next_states_mb})
  3.  
  4. ...
  5.  
  6. if tau > max_tau:
  7. # Update the parameters of our TargetNetwork with DQN_weights
  8. update_target = update_target_graph()
  9. sess.run(update_target)
  10. tau = 0
  11. print("Model updated")
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