Productionizing Deep Reinforcement Learning with Spark and MLflow

Productionizing Deep Reinforcement Learning with Spark and MLflow

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RL-Bakery

11 of 17

11 of 17

RL-Bakery

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Classroom Contents

Productionizing Deep Reinforcement Learning with Spark and MLflow

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  1. 1 Intro
  2. 2 Game Design is Hard
  3. 3 Personalization Problem Formulation
  4. 4 Personalization Method 2: Prediction Models
  5. 5 Personalization Wishlist
  6. 6 Solution: Reinforcement Learning (RL)
  7. 7 RL Model Training
  8. 8 Academic RL Applications
  9. 9 Production RL Applications for Personalization
  10. 10 Production RL Challenges
  11. 11 RL-Bakery
  12. 12 Real Time Model Serving
  13. 13 Choose the Right Application
  14. 14 Designing Actions
  15. 15 Choosing RL Algorithms
  16. 16 Hyperparameter Tuning Automation
  17. 17 Key Takeaways

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