Sean Meyn
5 papers · 2017–2022 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot ยท Bronze
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Academic Marathon ยท Sprint
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Interdisciplinary Bridge ยท Bronze
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Keywords
stochastic approximation
(3)
convergence rate
(2)
reinforcement learning
(2)
markov decision process
(1)
kullback-leibler divergence
(1)
recursive estimation
(1)
variance reduction
(1)
optimal policy
(1)
control theory
(1)
mean square error
(1)
gradient-free optimization
(1)
stochastic method
(1)
nonlinear function approximation
(1)
neural network function approximation
(1)
eigenvector problem
(1)
number theory
(1)
quasi-stochastic approximation
(1)
quartic convergence
(1)
optimal asymptotic variance
(1)
convergence analysis
(1)
Papers
Approaching Quartic Convergence Rates for Quasi-Stochastic Approximation with Application to Gradient-Free Optimization
NeurIPS 2022
Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation
AISTATS 2020
Zap Q-Learning With Nonlinear Function Approximation
NeurIPS 2020
Action-Constrained Markov Decision Processes With Kullback-Leibler Cost
COLT 2018
Zap Q-Learning
NeurIPS 2017