| 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 | 79 | 2015 |
| 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 | 71 | 2016 |
| Welfare effects of market making in continuous double auctions E Wah, M Wright, MP Wellman Journal of Artificial Intelligence Research 59, 613-650, 2017 | 62 | 2017 |
| 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 | 55 | 2017 |
| 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, 23-42, 2012 | 42 | 2012 |
| The magazine archive includes every article published in Communications of the ACM for over the past 50 years. J Lee, Z Lee, KRT Larsen Communications of the ACM 46 (7), 137-142, 2003 | 42* | 2003 |
| 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 | 41 | 2016 |
| Mechanism design for team formation M Wright, Y Vorobeychik Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 36 | 2015 |
| Iterated Deep Reinforcement Learning in Games: History-Aware Training for Improved Stability. M Wright, Y Wang, MP Wellman EC, 617-636, 2019 | 21 | 2019 |
| 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 | 14 | 2018 |
| Mathematical machines and integrated stem: An intersubjective constructionist approach P Sengupta, G Krishnan, M Wright, C Ghassoul Computer Supported Education: 6th International Conference, CSEDU 2014 …, 2015 | 10 | 2015 |
| Modeling Oligarchs' Campaign Donations and Ideological Preferences with Simulated Agent-Based Spatial Elections M Wright, P Sengupta arXiv preprint arXiv:1310.7134, 2013 | 9 | 2013 |
| Using reinforcement learning to validate empirical game-theoretic analysis: A continuous double auction study M Wright arXiv preprint arXiv:1604.06710, 2016 | 4 | 2016 |
| Integrated STEM in elementary grades using distributed agent-based computation P Sengupta, G Krishnan, M Wright arXiv preprint arXiv:1402.7252, 2014 | 4 | 2014 |
| Empirical game-theoretic methods for adaptive cyber-defense MP Wellman, TH Nguyen, M Wright Adversarial and Uncertain Reasoning for Adaptive Cyber Defense: Control-and …, 2019 | 3 | 2019 |
| 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 | 3 | 2016 |
| Probably Almost Stable Strategy Profiles in Simulation-Based Games M Wright, MP Wellman Proceedings of the Games, Agents, and Incentives Workshops (GAIW), 1-9, 2019 | 2 | 2019 |
| 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 | 1 | 2018 |
| 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 | 1 | 2013 |
| Stable Profiles in Simulation-Based Games via Reinforcement Learning and Statistics M Wright | | 2019 |
Michael WellmanProfessor of Computer Science & Engineering, University of MichiganVerified email at umich.edu
