Economic reasoning from simulation-based game models
MP Wellman
Œconomia, 10(2):257–278, 2020.
Abstract
Simulation modeling in economics has historically been viewed as an alternative to mainstream analytic technique, and as such has generally and intentionally avoided the focus on rational…
Empirical game-theoretic methods for adaptive cyber-defense
MP Wellman, TH Nguyen, and M Wright
in S Jajodia et al. (Eds.): Adversarial and Uncertain Reasoning for Adaptive Cyber Defense, LNCS 11830, pages 112–128, 2019.
Abstract
Game-theoretic applications in cyber-security are often restricted…
interview with Grainstone Lee
I spoke with Simon Grainger recently for his firm's "Views from Academia" series.
The interview is based on presentations I've made recently on "Game Playing meets Game Theory", discussing the connection between game-theoretic reasoning and…
Structure learning for approximate solution of many-player games
Z Li and MP Wellman
34th AAAI Conference on Artificial Intelligence, pages 2119-2127, Feb 2020.
Abstract
Games with many players are difficult to solve or even specify without adopting structural assumptions that enable representation in…
Cap-and-trade emissions regulation: A strategic analysis
F Cheng , Y Engel, and MP Wellman
Proceedings of the 28th International Joint Conference on Artificial Intelligence, pages 187–193, August 2019.
Abstract
Cap-and-trade schemes are designed to achieve target levels of regulated emissions…
Probably almost-stable strategy profiles in simulation-based games
M Wright and MP Wellman
AAMAS-19 Workshop on Games, Agents and Incentives, May 2019.
Abstract
Empirical studies of strategic settings commonly model player interactions under supposed game-theoretic equilibrium behavior, to predict what…
Iterated Deep Reinforcement Learning in Games: History-Aware Training for Improved Stability
M Wright, Y Wang, and MP Wellman
Proceedings of the 20th ACM Conference on Economics and Computation, pages 617-636, June 2019.
Abstract
Deep reinforcement learning (RL) is a powerful method for generating policies in complex environments,…
Mason Wright defends thesis
Congratulations to Mason Wright, on a successful thesis defense.
And a special thanks to Mason's thesis committee members:
Grant Schoenebeck
Demos Teneketzis
Jenna Wiens
Bounding regret in empirical games
S Jecmen, A Sinha, Z Li, L Tran-Thanh
34th AAAI Conference on Artificial Intelligence (AAAI), 2020.
Abstract
Empirical game-theoretic analysis refers to a set of models and techniques for solving large-scale games. However, there is a lack…
A Cloaking Mechanism to Mitigate Market Manipulation
X Wang, Y Vorobeychik, and MP Wellman
27th International Joint Conference on Artificial Intelligence, pages 541–547, July 2018.
Abstract
We propose a cloaking mechanism to deter spoofing, a form of manipulation in financial markets. The…