Zhiquan Luo
4 papers · 2020–2024 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot ยท Bronze
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Interdisciplinary Bridge ยท Bronze
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Hot Topic Early Bird
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Keywords
non-convex optimization
(1)
function approximation
(1)
distributed learning
(1)
posterior sampling
(1)
decentralized optimization
(1)
variance reduction
(1)
primal-dual algorithm
(1)
communication efficiency
(1)
lipschitz continuity
(1)
bayesian regret
(1)
regret bound
(1)
iteration complexity
(1)
linear mixture mdp
(1)
randomized exploration
(1)
spectral risk measure
(1)
min-max optimization
(1)
gradient descent ascent
(1)
risk-sensitive reinforcement learning
(1)
value-targeted model
(1)
dynamic risk measure
(1)
Papers
Prior-dependent analysis of posterior sampling reinforcement learning with function approximation
AISTATS 2024
Regret Bounds for Risk-sensitive Reinforcement Learning with Lipschitz Dynamic Risk Measures
AISTATS 2024
Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization
AISTATS 2021
A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems
NeurIPS 2020