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Doodling is a useful and common intelligent skill that people can learn and master.
Sketch interpretation and refinement using statistical models
Saul Simhon and Gregory Dudek · 2004
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A reduction of imitation learning and structured prediction to no-regret online learning
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Artist agent: a reinforcement learning approach to automatic stroke generation in oriental ink painting
Ning Xie, Hirotaka Hachiya, and Masashi Sugiyama · 2012
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Patrick Tresset and Frederic Fol Leymarie · 2013
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The Doodle revolution: Unlock the power to think differently
Sunni Brown · 2014
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Generative adversarial nets
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Adam: A method for stochastic optimization
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Deep reinforcement learning in large discrete action spaces
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Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A. Rusu, Joel Veness, Marc G. Bellemare, Alex Graves, Martin Riedmiller, Andreas K. Fidjeland, Georg Ostrovski, Stig Petersen, Charles Beattie, Amir Sadik, Ioannis Antonoglou, Helen King, Dharshan Kumaran, Dan Wiestra, Shane Legg, and Demis Hassabis · 2015
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Exploration from demonstration for interactive reinforcement learning
Kaushik Subramanian, Charles L Isbell Jr, and Andrea L Thomaz · 2016
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Generating videos with scene dynamics
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Pre-training neural networks with human demonstrations for deep reinforcement learning
Gabriel V Cruz Jr, Yunshu Du, and Matthew E Taylor · 2017
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Prioritized experience replay
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A neural representation of sketch drawings
David Ha and Douglas Eck · 2017
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Imitation learning: A survey of learning methods
Ahmed Hussein, Mohamed Medhat Gaber, Eyad Elyan, and Chrisina Jayne · 2017
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Drawing and recognizing chinese characters with recurrent neural network
Xu-Yao Zhang, Fei Yin, Yan-Ming Zhang, Cheng-Lin Liu, and Yoshua Bengio · 2017
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Synthesizing programs for images using reinforced adversarial learning
Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin, SM Eslami, and Oriol Vinyals · 2018
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Deep q-learning from demonstrations
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