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Bryce Wiedenbeck
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Books and Theses
- 2015
- [b1]Bryce Wiedenbeck:
Approximate Analysis of Large Simulation-Based Games. University of Michigan, USA, 2015
Journal Articles
- 2015
- [j1]Pranav Dandekar, Ashish Goel, Michael P. Wellman, Bryce Wiedenbeck:
Strategic Formation of Credit Networks. ACM Trans. Internet Techn. 15(1): 3:1-3:41 (2015)
Conference and Workshop Papers
- 2023
- [c11]Bryce Wiedenbeck, Erik Brinkman:
Data Structures for Deviation Payoffs. AAMAS 2023: 670-678 - [c10]Madelyn Gatchel, Bryce Wiedenbeck:
Learning Parameterized Families of Games. AAMAS 2023: 1044-1052 - 2022
- [c9]Hammurabi Mendes, Bryce Wiedenbeck, Aidan O'Neill:
Seriema: RDMA-based Remote Invocation with a Case-Study on Monte-Carlo Tree Search. SBAC-PAD 2022: 11-20 - 2019
- [c8]Samuel Sokota, Caleb Ho, Bryce Wiedenbeck:
Learning Deviation Payoffs in Simulation-Based Games. AAAI 2019: 2173-2180 - 2018
- [c7]Bryce Wiedenbeck, Fengjun Yang, Michael P. Wellman:
A Regression Approach for Modeling Games With Many Symmetric Players. AAAI 2018: 1266-1273 - 2015
- [c6]Bryce Wiedenbeck, Michael P. Wellman:
Learning Payoffs in Large Symmetric Games. AAMAS 2015: 1881-1882 - 2014
- [c5]Bryce Wiedenbeck, Ben-Alexander Cassell, Michael P. Wellman:
Bootstrap statistics for empirical games. AAMAS 2014: 597-604 - [c4]Bryce Wiedenbeck:
Approximate game theoretic analysis for large simulation-based games. AAMAS 2014: 1745-1746 - 2012
- [c3]Bryce Wiedenbeck, Michael P. Wellman:
Scaling simulation-based game analysis through deviation-preserving reduction. AAMAS 2012: 931-938 - [c2]Michael P. Wellman, Bryce Wiedenbeck:
An empirical game-theoretic analysis of credit network formation. Allerton Conference 2012: 386-393 - [c1]Pranav Dandekar, Ashish Goel, Michael P. Wellman, Bryce Wiedenbeck:
Strategic formation of credit networks. WWW 2012: 559-568
Informal and Other Publications
- 2023
- [i3]Madelyn Gatchel, Bryce Wiedenbeck:
Learning Parameterized Families of Games. CoRR abs/2302.12969 (2023) - [i2]Bryce Wiedenbeck, Erik Brinkman:
Data Structures for Deviation Payoffs. CoRR abs/2302.13232 (2023) - 2021
- [i1]Hammurabi Mendes, Bryce Wiedenbeck, Aidan O'Neill:
Seriema: RDMA-based Remote Invocationwith a Case-Study on Monte-Carlo Tree Search. CoRR abs/2109.09819 (2021)
Coauthor Index
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