Bryce Wiedenbeck


Fall 2018 Schedule

  CS91: Game Theory   Tue/Thu 2:40–3:55   SCI 181
  CS91 Lab A   Mon 1:15–2:45   SCI 256
  CS91 Lab B   Mon 3:00–4:30   SCI 256
  Office Hours   TBA   SCI 262

Past Courses

Research Overview

My research on computational game theory lies at the boundary of economics and computer science. Game theory, traditionally a subfield of economics, uses mathematical models to study interactions among multiple independent strategic decision makers. I use game theory to study mult-agent interactions that arise in artificial intelligence and other areas of computer science. I also use computer science techniques to extend the reach of game-theoretic models. With agent-based simulations, the task of constructing a normal-form game model can be simplified and even automated. With machine learning, game models and equilibrium computation can generalize from incomplete data. If you are a student who is interested in working on these problems, please stop by my office or send me an email.


Journal Papers

Major Conference Papers