Sep 9–12, 2019

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

Sunil Mallya (Amazon Web Services)
11:55am12:35pm Wednesday, September 11, 2019
Location: Santa Clara Room (Hilton)
Average rating: ****.
(4.67, 3 ratings)

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.

What you'll learn

  • Learn how to build complex ML-enabled products using RL and about hardwire design challenges and trade-offs
  • Hear real-life examples of how to level up your RL skills through autonomous driving
Photo of Sunil Mallya

Sunil Mallya

Amazon Web Services

Sunil Mallya is a Principal Deep Learning Scientist at Amazon Web Services.

  • Intel AI
  • O'Reilly
  • Amazon Web Services
  • IBM Watson
  • Dataiku
  • Dell Technologies
  • Intuit
  • Gamalon
  • Hewlett Packard Enterprise
  • MapR Technologies
  • Sisu Data
  • Intuit

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