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DEEP REINFORCEMENT LEARNING APPLIED TO THE GAME OF QWIXX

on May 16, 2019 from 6:00 PM to 8:00 PM

Speaker Dr. Gideon Prior of General Atomics
Topic Info

Reinforcement learning methods have been steadily gaining popularity within the machine-learning community as an approach to learn gaming strategy through trial and error. One of the downsides of classical reinforcement learning is the limited applicability to games with a large state spaces which has resulted in the adoption of deep learning methods to approximate value functions defined over the state. However learning can still be difficult for complex games, particularly for those with a large stochastic component that can results in similar strategies having very different outcomes. In this work a deep reinforcement learning algorithm is presented to address these issues as seen in a representative dice based multi-player game known as Qwixx. Without knowing any rules about the game the algorithm eventually learns winning strategies by playing against a human generated method based on optimal control.


Speaker Bio

Gideon Prior was born in Los Angeles California in 1975. He received a B.S. (2007), M.S (2009) and Ph.D. (2013) degrees in electrical engineering from the University of California, San Diego. He joined General Atomics in La Jolla, California in 2006 where he has worked in research and development on projects including axial flux motor control, autonomous underwater navigation, aircraft arresting gears, high voltage DC breakers, hypersonic missile trajectory estimation and prediction and long distance high energy laser control.

His research interests include reinforcement learning, evolutionary algorithms, recurrent neural networks, optimal control, switched input systems and power electronics. 

Location Advanced Test Equipment Rentals 10401 Roselle Street San Diego, California United States 92121
Directions

https://www.atecorp.com/contact


Agenda
6:00 PM - Pizza and Social
6:30-8:00 PM Presentation
Cost IEEE members and students - FREE; Otherwise $5
RSVP
Please RSVP at https://events.vtools.ieee.org/m/198105

Stephen Stubberud - scstubberud@ieee.org

Sponsored byAerospace and Electronics Systems Society 

Co-sponsored by CH06204 - San Diego Section Chapter, and CIS11- Computational Intelligence Society



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