Concepedia

Jayakumar Subramanian

JS

5

Publications

151

Citations

5

H-Index

2019

Active since

Affiliations

McGill University(Current)

Jayakumar Subramanian is an author at McGill University specializing in robot learning, artificial intelligence, and engineering.

Top concepts

EngineeringRobot LearningArtificial IntelligenceData ScienceComputer ScienceMachine LearningIntelligent SystemsPredictive AnalyticsManagementUncertainty Quantification

Publications per year

2019–2021

5

Publications

5

Public health impact of delaying second dose of BNT162b2 or mRNA-1273 covid-19 vaccine: simulation agent based modeling study

Santiago Romero‐Brufau, Ayush Chopra, Alex J Ryu et al. · BMJ · 2021 · 77 citations · Full text

Reinforcement Learning in Stationary Mean-field Games

Jayakumar Subramanian, Aditya Mahajan · 2019 · 24 citations

Artificial Intelligence, Differential Game, Multi-agent Reinforcement Learning +12

Approximate information state for partially observed systems

Jayakumar Subramanian, Aditya Mahajan · 2019 · 23 citations

Artificial Intelligence, Engineering, Machine Learning +16

Approximate information state for approximate planning and reinforcement learning in partially observed systems

Jayakumar Subramanian, Amit Kumar Sinha, Raihan Seraj et al. · arXiv (Cornell University) · 2020 · 15 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +16

An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare

Taylor W. Killian, Haoran Zhang, Jayakumar Subramanian et al. · arXiv (Cornell University) · 2020 · 12 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +16

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