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Katherine Mayo

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Christine Konicki

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Max Smith

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Yongzhao Wang

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…

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,…

Deception in Finitely Repeated Security Games

TH Nguyen, Y Wang, A Sinha, and MP Wellman 33rd AAAI Conference on Artificial Intelligence, Jan/Feb 2019. Abstract Allocating resources to defend targets from attack is often complicated by uncertainty about the attacker’s capabilities,…
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Zun Li

Bounding regret in simulated games

S Jecmen, E Brinkman, and A Sinha 34th AAAI Conference on Artificial Intelligence (AAAI), 2020. ICML-18 Workshop on Exploration in RL, July 2018. Abstract We present a bandit-style problem arising from a specific problem in agent-based…
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Megan Shearer