Scaling simulation-based game analysis through deviation-preserving reduction. - Bryce Wiedenbeck; Michael P. Wellman (AAMAS, 2012)

An empirical game-theoretic analysis of credit network formation. - Michael P. Wellman; Bryce Wiedenbeck (Allerton Conference, 2012)

Approximate game theoretic analysis for large simulation-based games. - Bryce Wiedenbeck (AAMAS, 2014)

Bootstrap statistics for empirical games. - Bryce Wiedenbeck; Ben-Alexander Cassell; Michael P. Wellman (AAMAS, 2014)

Learning Payoffs in Large Symmetric Games. - Bryce Wiedenbeck; Michael P. Wellman (AAMAS, 2015)

Strategic Formation of Credit Networks. - Pranav Dandekar; Ashish Goel; Michael P. Wellman; Bryce Wiedenbeck (ACM Trans. Internet Techn., 2015)

Approximate Analysis of Large Simulation-Based Games. - Bryce Wiedenbeck (2015)

A Regression Approach for Modeling Games With Many Symmetric Players. - Bryce Wiedenbeck; Fengjun Yang; Michael P. Wellman (AAAI, 2018)

Learning Deviation Payoffs in Simulation-Based Games. - Samuel Sokota; Caleb Ho; Bryce Wiedenbeck (AAAI, 2019)

Seriema: RDMA-based Remote Invocationwith a Case-Study on Monte-Carlo Tree Search. - Hammurabi Mendes; Bryce Wiedenbeck; Aidan O'Neill (CoRR, 2021)

Seriema: RDMA-based Remote Invocation with a Case-Study on Monte-Carlo Tree Search. - Hammurabi Mendes; Bryce Wiedenbeck; Aidan O'Neill (SBAC-PAD, 2022)

Learning Parameterized Families of Games. - Madelyn Gatchel; Bryce Wiedenbeck (AAMAS, 2023)

Data Structures for Deviation Payoffs. - Bryce Wiedenbeck; Erik Brinkman (AAMAS, 2023)