SSRN Electronic Journal · 2022 · 20 citations · 32 references
EngineeringMathematicsMachine LearningProbability TheoryStochastic ProcessesMarkov ProcessesPolicy IterationPolicy LearningReinforcement LearningReinforcement Learning FoundationsStochastic ControlAdvantage FunctionContinuous-time ModelsMartingale ProblemsMartingale TheoryPolicy GradientsQ-learningReinforcement Learning TheoryTime Discretization
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Human-level control through deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver et al. · Nature · 2015 · 30K citations
Christopher J. Watkins, Peter Dayan · Machine Learning · 1992 · 9K citations · Full text
Reinforcement Learning: An Introduction
Jeffrey D. Johnson, Jinghong Li, Zengshi Chen · Neurocomputing · 2000 · 8.7K citations