International Conference on Machine Learning · 2021 · 19 citations · 29 references
BusinessAutonomous SystemsMachine LearningMarkov Decision ProcessesRobot LearningOptimal ControlPolicy ImprovementPolicy IterationPolicy LearningReinforcement LearningReinforcement Learning FoundationsConstrained Reinforcement LearningSafe LearningSafe Policy LearningSafe Reinforcement Learning
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Continuous control with deep reinforcement learning
Timothy Lillicrap, Jonathan J. Hunt, Alexander Pritzel et al. · arXiv (Cornell University) · 2015 · 5.4K citations · Full text
Computing, Computer Science, Physics +17
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver et al. · arXiv (Cornell University) · 2013 · 5.1K citations · Full text
Trust Region Policy Optimization
John Schulman, Sergey Levine, Philipp Moritz et al. · arXiv (Cornell University) · 2015 · 3.1K citations · Full text
High-Dimensional Continuous Control Using Generalized Advantage Estimation
John Schulman, Philipp Moritz, Sergey Levine et al. · arXiv (Cornell University) · 2015 · 1.8K citations · Full text