Reinforcement Learning: a Practical Introduction


Date:  Tuesday, September 22, 2020

Start Time: 1:00 pm

End Time: 1:30 pm

This talk provides a practical introduction to reinforcement learning. We’ll explain how reinforcement learning relates to other machine learning methods, provide examples of real-world deployments, and give a technical overview of the elements of reinforcement learning. We’ll also present practical advice on when to use reinforcement learning and how to structure problems to use reinforcement learning effectively. Finally, we’ll provide the recommended resources for learning more about this important technique.

Track

Session Speakers

  • Joe Booth is the VP of Engineering at Orions Systems Inc., and is also an independent researcher focused on reinforcement learning video games. At Orions Systems, Booth oversaw the transition from a human-only to a human-machine, distributed platform for real-time video intelligence. Previously, Booth was an executive producer and video game maker on major franchises such as FIFA, Need for Speed, Ghost Recon and Kodu. His game titles sold over 24 million units, generating $1B of revenue and earning 10 AIAS & BAFTA nominations.


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Reinforcement Learning: a Practical Introduction