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sess.run(ppo_model.increment_step) |
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if len(trainer.stats['cumulative_reward']) > 0: |
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mean_reward = np.mean(trainer.stats['cumulative_reward']) |
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print(mean_reward) |
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sess.run(ppo_model.update_reward, feed_dict={ppo_model.new_reward: mean_reward}) |
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last_reward = sess.run(ppo_model.last_reward) |
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# Final save Tensorflow model |
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Arthur Juliani