Bryce Wiedenbeck


Fall 2018 Schedule

  CS35: Data Structures and Algorithms   Tue/Thu 9:55–11:10   SCI 199
  CS35 Lab A   Thu 1:05–2:35   SCI 240
  CS35 Lab B   Mon 2:45–4:15   SCI 240
  Office Hours   Tue 12:30–2:30, Wed 1:00–4:00, Fri 10:00–12:00   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