Making reinforcement learning practical for real-world developers (sponsored by Amazon Web Services)

Building machine learning-enabled products are hard for developers and data scientists; throw in a hardware component, and the complexity increases exponentially. Sunil Mallya walks you through how to build complex ML-enabled products using RL, explores hardware design challenges and trade-offs, and details real-life examples of how any developer can up level their RL skills through autonomous driving.

This session is sponsored by Amazon Web Services.