Productionizing Deep Reinforcement Learning with Spark and MLflow

Deep Reinforcement Learning has driven exciting AI breakthroughs like self-driving cars, beating the best Go players in the world and even winning at StarCraft. How can businesses harness this power for real world applications? Zynga has over 70 million monthly active users for our mobile games. We successfully use RL to personalize our games and increase engagement. This talks about the lessons we’ve learned productionizing Deep RL applications for millions of players per day using tools like Spark, MLflow and TensorFlow. Hear about what works and what doesn’t work when applying cutting edge AI techniques to real world users.

Takeaways:

-How to apply Deep Reinforcement Learning to solve business problems
-Understand challenges that arise in applying RL to industry
-How we use Databricks, Spark and MLflow to productionize RL
-Tips and Tricks on training RL Agents for real world applications

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