 Regularized Q-Learning with Linear Function ApproximationIEEE Transactions on Automatic Control (TAC), 2024 |
 Convex Q Learning in a Stochastic Environment: Extended VersionIEEE Conference on Decision and Control (CDC), 2023 |
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 Efficiency Ordering of Stochastic Gradient DescentNeural Information Processing Systems (NeurIPS), 2022 |
 Is Q-Learning Minimax Optimal? A Tight Sample Complexity AnalysisOperational Research (OR), 2021 |
 The Mean-Squared Error of Double Q-LearningNeural Information Processing Systems (NeurIPS), 2020 |
 Zap Q-Learning With Nonlinear Function ApproximationNeural Information Processing Systems (NeurIPS), 2019 |
