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Exploiting Anonymity in Approximate Linear Programming: Scaling to Large Multiagent MDPs (Extended Version)

29 November 2015

P. Robbel

F. Oliehoek

Mykel J. Kochenderfer

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Papers citing "Exploiting Anonymity in Approximate Linear Programming: Scaling to Large Multiagent MDPs (Extended Version)"

6 / 6 papers shown

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Exchangeable Input Representations for Reinforcement LearningAmerican Control Conference (ACC), 2020

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Dorsa Sadigh

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A Sufficient Statistic for Influence in Structured Multiagent EnvironmentsJournal of Artificial Intelligence Research (JAIR), 2019

F. Oliehoek

Stefan J. Witwicki

L. Kaelbling

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Policy Gradient With Value Function Approximation For Collective Multiagent Planning

D. Nguyen

Akshat Kumar

H. Lau

301

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