Fall 2017 Schedule
| CS63: Artificial Intelligence
|| M/W/F 9:30–10:20
|| SCI 181
| CS63 Lab A
|| Wed 1:15–2:45
|| Clothier 016
| CS63 Lab B
|| Fri 3:00–4:30
|| Clothier 016
| Office Hours
|| Mon/Tue 1:30–4:00, Thu 10:00–12:00
|| SCI 262
| Research Hours
|| Friday 11–5
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.
Major Conference Papers
- Bryce Wiedenbeck, Fengjun Yang, and Michael Wellman. A Regression Approach for Modeling Games with Many Symmetric Players. AAAI, 2018.
- Bryce Wiedenbeck, Ben-Alexander Cassell, and Michael P. Wellman. Bootstrap Statistics for Empirical Games. AAMAS, 2014.
- Pranav Dandekar, Ashish Goel, Michael P. Wellman, and Bryce Wiedenbeck. Strategic Formation of Credit Networks. WWW, 2012.
- Bryce Wiedenbeck and Michael P. Wellman. Scaling Simulation-Based Game Analysis through Deviation-Preserving Reduction. AAMAS, 2012.
- Bryce Wiedenbeck. Approximate Analysis of Large Simulation-Based Games. PhD Thesis, 2015
- Bryce Wiedenbeck and Michael P. Wellman. Learning Payoffs in Large Symmetric Games (Extended Abstract). AAMAS, 2015.
- Michael P. Wellman and Bryce Wiedenbeck. An Empirical Game-Theoretic Analysis of Credit Network Formation. Allerton Conference, 2012.
- Pranav Dandekar, Bryce Wiedenbeck Ashish Goel, and Michael P. Wellman. Strategic Formation of Credit Networks: Preliminary Report. TADA Workshop, 2011.
- Gorbach AM, Wang H, Wiedenbeck B, Liu W, Smith P, and Elster E. Functional assessment of hand vasculature using infrared and laser speckle imaging. SPIE Biomedical Optics, 2009.