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