I am a PhD student at the University of British Columbia. My area of research is Algorithmic Game Theory and Mechanism design. I am especially interested in using game theoretic tools to explore player behaviour in mobile games and virtual economies. My PhD supervisor is Kevin Leyton-Brown .
I recieved a Masters Degree in Computer Science from UBC in 2019 and received my Bachelors degree from Dalhousie University in 2017
tlundy at cs.ubc.ca
Department of Computer Science
University of British Columbia
2366 Main Mall, Room x560
Vancouver
Canada
Publications
- STEER-ME: Assessing the Microeconomic Reasoning of Large Language Models
Narun Raman, Taylor Lundy, Thiago Amin, Jesse Perla, Kevin Leyton-Brown
Pre-print
[arXiv]
- NFTs as a Data-Rich Test Bed: Conspicuous Consumption and its Determinants
Taylor Lundy, Narun Raman, Scott Duke Kominers, Kevin Leyton-Brown
WWW'25
[arXiv]
- Simple Mechanisms for Utility Maximization: Approximating Welfare in the I.I.D. Unit-Demand Setting
Kira Goldner, Taylor Lundy
Pre-print
[arXiv]
- STEER: Assessing the Economic Rationality of Large Language Models
Narun Raman, Taylor Lundy, Samuel Amouyal, Yoav Levine, Kevin Leyton-Brown, Moshe Tennenholtz
ICML'24
[arXiv]
- UNSAT Solver Synthesis via Monte Carlo Forest Search
Chris Cameron, Jason Hartford, Taylor Lundy, Tuan Truong, Alan Milligan, Rex Chen, Kevin Leyton-Brown
CPAIOR'24
[arXiv]
- Pay to (Not) Play: Monetizing Impatience in Mobile Games
Taylor Lundy, Narun Raman, Hu Fu, Kevin Leyton-Brown
AAAI'24
[arXiv]
- The Perils of Learning Before Optimizing
Chris Cameron, Jason Hartford, Taylor Lundy, Kevin Leyton-Brown
AAAI'22
[AAAI]
- Limitations of Incentive Compatibility on Discrete Type Spaces
Taylor Lundy and Hu Fu
AAAI'20
- Allocation for Social Good: Auditing Mechanisms for Utility Maximization
Taylor Lundy, Alexander Wei, Hu Fu, Scott Duke Kominers, Kevin Leyton-Brown
EC'19
[PDF]