Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, and Martin Riedmiller. Playing atari with deep reinforcement learning. arXiv preprint arXiv:1312.5602, 2013.
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, Georg Ostrovski, et al. Human-level control through deep reinforcement learning. nature, 518(7540):529-533, 2015.
Thomas M Moerland, Joost Broekens, and Catholijn M Jonker. Model-based reinforcement learning: A survey. arXiv preprint arXiv:2006.16712, 2020.
Juliette Morgan, Martin I Meltzer, Brian D Plikaytis, Andre N Sofair, Sharon Huie-White, Steven Wilcox, Lee H Harrison, Eric C Seaberg, Rana A Hajjeh, and Steven M Teutsch. Excess mortality, hospital stay, and cost due to candidemia: a case-control study using data from population-based candidemia surveillance. Infection control & hospital epidemiology, 26(6):540-547, 2005.
HyunJi Alex Nam, Scott Fleming, and Emma Brunskill. Reinforcement learning with state observation costs in action-contingent noiselessly observable markov decision processes. Advances in Neural Information Processing Systems, 34:15650-15666, 2021.
Tianwei Ni and Eric Jang. Continuous control on time. In ICLR 2022 Workshop on Generalizable Policy Learning in Physical World, 2022.
Kenzo Nonami, Farid Kendoul, Satoshi Suzuki, Wei Wang, and Daisuke Nakazawa. Autonomous flying robots: unmanned aerial vehicles and micro aerial vehicles. Springer Science & Business Media, 2010.
Albert Nubiola and Ilian A Boney. Absolute calibration of an abb irb 1600 robot using a laser tracker. Robotics and Computer-Integrated Manufacturing, 29(1):236-245, 2013.
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al. Pytorch: An imperative style, high-performance deep learning library. Advances in neural information processing systems, 32, 2019a.
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al. Pytorch: An imperative style, high-performance deep learning library. Advances in neural information processing systems, 32, 2019b.
Roy C Preston, David R Bacon, and Robert A Smith. Calibration of medical ultrasonic equipment-procedures and accuracy assessment. IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 35(2):110-121, 1988.
Heike Reinhardt, Petra Otte, Alison G Eggleton, Markus Ruch, Stefan Wohrl, Stefanie Ajayi, Justus Duyster, Manfred Jung, Martin J Hug, and Monika Engelhardt. Avoiding chemotherapy prescribing errors: analysis and innovative strategies. Cancer, 125(9):1547-1557, 2019.
Jacques Richalet, André Rault, JL Testud, and J Papon. Model predictive heuristic control: Applications to industrial processes. Automatica, 14(5):413-428, 1978.
Tim Salzmann, Elia Kaufmann, Marco Pavone, Davide Scaramuzza, and Markus Ryll. Neural-mpc: Deep learning model predictive control for quadrotors and agile robotic platforms. arXiv preprint arXiv:2203.07747, 2022.
Nabeel Seedat, Fergus Imrie, Alexis Bellot, Zhaozhi Qian, and Mihaela van der Schaar. Continuous-time modeling of counterfactual outcomes using neural controlled differential equations. arXiv preprint arXiv:2206.08311, 2022.
Archit Sharma, Shixiang Gu, Sergey Levine, Vikash Kumar, and Karol Hausman. Dynamics-aware unsupervised discovery of skills. In International Conference on Learning Representations, 2019.
Sahil Sharma, Aravind Srinivas, and Balaraman Ravindran. Learning to repeat: Fine grained action repetition for deep reinforcement learning. arXiv preprint arXiv:1702.06054, 2017.