Andrew J Wagenmaker
4 papers · 2021–2022 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Bronze
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Interdisciplinary Bridge Β· Silver
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Taxonomy Completionist
(13)
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Trend Setter
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Research topics
Keywords
sample complexity
(3)
reinforcement learning
(3)
pac learning
(2)
optimal policy
(2)
regret bound
(2)
linear mdp
(2)
linear dynamical system
(1)
certainty equivalence
(1)
first-order regret
(1)
sub-optimality gap
(1)
state visitation
(1)
reward-free reinforcement learning
(1)
task-guided exploration
(1)
catoni mean estimator
(1)
pac reinforcement learning
(1)
policy identification
(1)
instance-dependent sample complexity
(1)
markov decision process
(1)
linear function approximation
(1)
robust estimation
(1)
Papers
Beyond No Regret: Instance-Dependent PAC Reinforcement Learning
COLT 2022
First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach
ICML 2022
Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes
ICML 2022
Task-Optimal Exploration in Linear Dynamical Systems
ICML 2021