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Put AI to work
September 17-18, 2017: Training
September 18-20, 2017: Tutorials & Conference
San Francisco, CA

Reinforcement Learning Overview

Melanie Warrick (Google)
4:00pm–4:40pm Wednesday, September 20, 2017
Implementing AI
Location: Yosemite BC Level: Intermediate
Secondary topics:  Algorithms, Data science and AI
Average rating: ****.
(4.00, 4 ratings)

Prerequisite Knowledge

  • A basic understanding of Python, machine learning, and neural networks

What you'll learn

  • Learn how to run RL with TensorFlow using DeepMind Lab and Google Cloud Platform


Reinforcement learning is a popular subfield in machine learning because of its success in beating humans at complex games like Go and Atari. The field’s value is in utilizing an award system to develop models and find more optimal ways to solve complex, real-world problems. This approach allows software to adapt to its environment without full knowledge of what the results should look like. This talk will cover reinforcement learning fundamentals and examples to help you understand how it works.

Photo of Melanie Warrick

Melanie Warrick


Melanie Warrick is a senior developer advocate at Google with a passion for machine learning problems at scale. Melanie’s previous experience includes work as a founding engineer on Deeplearning4j and as a data scientist and engineer at