Session 2B

Machine Learning

3:30 PM to 5:15 PM | Moderated by Kurtis Heimerl
Add to my favorites Adversarial Language Generation with MCTS
Presenter
  • Jize (Tony) Cao, Junior, Computer Science (Data Science), Statistics
Mentors
  • William Agnew, Computer Science & Engineering
  • Pedro Domingos, Computer Science & Engineering

Add to my favorites Comparison of Reinforcement Learning Methods in a Real-World, Real-Time Environment
Presenters
  • Min Jing (Wendy) Jiang, Sophomore, Computer Science, Bellevue Coll
  • Megan Bui, Sophomore, Electrical Engineering, Bellevue Coll
  • Abduselam (Abdul) Shaltu, Senior,
  • Samuel Vanderlinda, Sophomore, Computer Science, Bellevue Coll
  • Tejas Rao, Non-Matriculated,
Mentor
  • Christina Sciabarra, Political Science

Add to my favorites Understanding and Influencing the Dynamical Regime of Recurrent Neural Networks
Presenter
  • Timothy John Moore, Senior, Mathematics
Mentor
  • Eric Shea-Brown, Applied Mathematics

Add to my favorites A More Biologically Accurate Artificial Neural Network to Learn Environment Models for Reinforcement Learning
Presenter
  • Vinny Palaniappan, Senior, Neurobiology, Computer Science UW Honors Program
Mentor
  • Rajesh Rao, Computer Science & Engineering

Add to my favorites Machine Learning to Label Pilot Blinks During Takeoff and Landing in a Flight Simulator
Presenter
  • Paul Curry, Senior, Computer Science UW Honors Program
Mentor
  • Linda Boyle, Industrial Engineering

Add to my favorites Using Artificial Intelligence to Predict Possibilities of Human-Nature Interaction in Natural Landscapes: A Proof of Concept
Presenter
  • Audryana Nay, Senior, Environmental Science & Resource Management (Landscape Ecology & Conservation)
Mentor
  • Peter Kahn, Environmental & Forest Sciences