Mason Wright
Mason Wright
Research Scientist, Facebook
Verified email at umich.edu - Homepage
Title
Cited by
Cited by
Year
Programming in K-12 science classrooms
P Sengupta, A Dickes, AV Farris, A Karan, D Martin, M Wright
Communications of the ACM 58 (11), 33-35, 2015
532015
A moving target defense approach to mitigate DDoS attacks against proxy-based architectures
S Venkatesan, M Albanese, K Amin, S Jajodia, M Wright
2016 IEEE conference on communications and network security (CNS), 198-206, 2016
442016
Welfare effects of market making in continuous double auctions
E Wah, M Wright, MP Wellman
Journal of Artificial Intelligence Research 59, 613-650, 2017
402017
From agents to continuous change via aesthetics: learning mechanics with visual agent-based computational modeling
P Sengupta, AV Farris, M Wright
Technology, Knowledge and Learning 17 (1-2), 23-42, 2012
322012
Moving target defense against DDoS attacks: An empirical game-theoretic analysis
M Wright, S Venkatesan, M Albanese, MP Wellman
Proceedings of the 2016 ACM Workshop on Moving Target Defense, 93-104, 2016
242016
Multi-stage attack graph security games: heuristic strategies, with empirical game-theoretic analysis
TH Nguyen, M Wright, MP Wellman, S Baveja
Proceedings of the 2017 Workshop on Moving Target Defense, 87-97, 2017
202017
Mechanism design for team formation
M Wright, Y Vorobeychik
arXiv preprint arXiv:1501.00715, 2015
142015
Mathematical machines and integrated stem: An intersubjective constructionist approach
P Sengupta, G Krishnan, M Wright, C Ghassoul
International Conference on Computer Supported Education, 272-288, 2014
102014
Evaluating the stability of non-adaptive trading in continuous double auctions
M Wright, MP Wellman
17th International Conference on Autonomous Agents and Multiagent Systems, 2018
52018
Modeling Oligarchs' Campaign Donations and Ideological Preferences with Simulated Agent-Based Spatial Elections
M Wright, P Sengupta
arXiv preprint arXiv:1310.7134, 2013
52013
Iterated Deep Reinforcement Learning in Games: History-Aware Training for Improved Stability.
M Wright, Y Wang, MP Wellman
EC, 617-636, 2019
42019
Using reinforcement learning to validate empirical game-theoretic analysis: A continuous double auction study
M Wright
arXiv preprint arXiv:1604.06710, 2016
32016
Integrated STEM in elementary grades using distributed agent-based computation
P Sengupta, G Krishnan, M Wright
arXiv preprint arXiv:1402.7252, 2014
32014
Method to their March Madness: Insight from Mining a Novel Large-Scale Dataset of Pool Brackets
M Wright, J Wiens
KDD Workshop on Large-Scale Sports Analytics, 2016
22016
Empirical Game-Theoretic Methods for Adaptive Cyber-Defense
MP Wellman, TH Nguyen, M Wright
Adversarial and Uncertain Reasoning for Adaptive Cyber Defense, 112-128, 2019
12019
Evaluating the Stability of Non-Adaptive Trading in Continuous Double Auctions: A Reinforcement Learning Approach
M Wright, MP Wellman
Workshops at the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
12018
An Investigation of the Effect of Competition on the Way Students Engage in Game-Based Deliberate Practice
M Mendiburo, L Williams, J Segedy, M Wright, G Biswas, T Hasselbring
2013 IEEE 13th International Conference on Advanced Learning Technologies …, 2013
12013
Stable Profiles in Simulation-Based Games via Reinforcement Learning and Statistics
M Wright
2019
Designing Fair, Efficient, and Incentive Compatible Team Formation Markets
M Wright, Y Vorobeychik
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