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Simulation is a useful tool in situations where training data for machine learning models is costly to annotate or even hard to acquire.
Mathematical Programs with Optimization Problems in the Constraints
Jerome Bracken and James T. McGill · 1973
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Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J Williams · 1992
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Stephan R Richter, Vibhav Vineet, Stefan Roth, and Vladlen Koltun · 2016
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German Ros, Laura Sellart, Joanna Materzynska, David Vazquez, and Antonio M Lopez · 2016
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Barret Zoph and Quoc V Le · 2016
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Irwan Bello, Barret Zoph, Vijay Vasudevan, and Quoc V Le · 2017
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Evolution strategies as a scalable alternative to reinforcement learning
Tim Salimans, Jonathan Ho, Xi Chen, Szymon Sidor, and Ilya Sutskever · 2017
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Encoder-decoder with atrous separable convolution for semantic image segmentation
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Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin, S. M. Ali Eslami, and Oriol Vinyals · 2018
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