Continuing with deep learning topics we have one of our first members & repeat speaker, Shane Conway talking about beating video games with machine learning.

Thank you toeBay NYCfor hosting.

This meetup was timed to coincide with all the activity around Strata. O'Reilly has been a long-time sponsor of this group so it is nice to have our events happening at the same time. As always,members of the group receive a 20% discount to Strata with code UGNYHACKR20.

About the Talk:

Games have long served as a challenge for AI researchers. With the recent success of DeepMind, there has been a major advance in the ecosystem for researching reinforcement learning problems. I will walk through OpenAI benchmarks in Python, & demonstrate several approaches to beating Atari games including DQN, A3C, & NEC.

About Shane:

Shane Conway is a researcher at Kepos Capital, a quantitative Global Macro firm located in New York City. His research interests have centered on optimal trading problems.He has a degree in Electrical Engineering from Columbia University. He can be reached through twitter @statalgo.

Pizzabegins at 6:30, the talk starts at 7, then after we head to the local bar.