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Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search


May 27, 2020
Aditya Rawal, Joel Lehman, Felipe Petroski Such, Jeff Clune, Kenneth O. Stanley


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Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions


Apr 13, 2020
Rui Wang, Joel Lehman, Aditya Rawal, Jiale Zhi, Yulun Li, Jeff Clune, Kenneth O. Stanley

* 23 pages, 14 figures 

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Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity


Feb 24, 2020
Thomas Miconi, Aditya Rawal, Jeff Clune, Kenneth O. Stanley

* 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019 
* Presented at the 7th International Conference on Learning Representations (ICLR 2019) 

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Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data


Dec 17, 2019
Felipe Petroski Such, Aditya Rawal, Joel Lehman, Kenneth O. Stanley, Jeff Clune


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First-Order Preconditioning via Hypergradient Descent


Oct 18, 2019
Ted Moskovitz, Rui Wang, Janice Lan, Sanyam Kapoor, Thomas Miconi, Jason Yosinski, Aditya Rawal


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From Nodes to Networks: Evolving Recurrent Neural Networks


Jun 07, 2018
Aditya Rawal, Risto Miikkulainen


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Evolving Deep Neural Networks


Mar 04, 2017
Risto Miikkulainen, Jason Liang, Elliot Meyerson, Aditya Rawal, Dan Fink, Olivier Francon, Bala Raju, Hormoz Shahrzad, Arshak Navruzyan, Nigel Duffy, Babak Hodjat


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