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Evaluating Large Language Models Trained on Code


Jul 14, 2021
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, Alex Ray, Raul Puri, Gretchen Krueger, Michael Petrov, Heidy Khlaaf, Girish Sastry, Pamela Mishkin, Brooke Chan, Scott Gray, Nick Ryder, Mikhail Pavlov, Alethea Power, Lukasz Kaiser, Mohammad Bavarian, Clemens Winter, Philippe Tillet, Felipe Petroski Such, Dave Cummings, Matthias Plappert, Fotios Chantzis, Elizabeth Barnes, Ariel Herbert-Voss, William Hebgen Guss, Alex Nichol, Alex Paino, Nikolas Tezak, Jie Tang, Igor Babuschkin, Suchir Balaji, Shantanu Jain, William Saunders, Christopher Hesse, Andrew N. Carr, Jan Leike, Josh Achiam, Vedant Misra, Evan Morikawa, Alec Radford, Matthew Knight, Miles Brundage, Mira Murati, Katie Mayer, Peter Welinder, Bob McGrew, Dario Amodei, Sam McCandlish, Ilya Sutskever, Wojciech Zaremba

* corrected typos, added references, added authors, added acknowledgements 

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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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Generalized Hidden Parameter MDPs Transferable Model-based RL in a Handful of Trials


Feb 08, 2020
Christian F. Perez, Felipe Petroski Such, Theofanis Karaletsos

* paper presented at AAAI 2020 as oral presentation, 9 pages 

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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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Fully Convolutional Networks for Handwriting Recognition


Jul 10, 2019
Felipe Petroski Such, Dheeraj Peri, Frank Brockler, Paul Hutkowski, Raymond Ptucha

* Published at International Conference on Frontiers in Handwriting Recognition 

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An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents


Dec 17, 2018
Felipe Petroski Such, Vashisht Madhavan, Rosanne Liu, Rui Wang, Pablo Samuel Castro, Yulun Li, Ludwig Schubert, Marc Bellemare, Jeff Clune, Joel Lehman


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Efficient transfer learning and online adaptation with latent variable models for continuous control


Dec 08, 2018
Christian F. Perez, Felipe Petroski Such, Theofanis Karaletsos

* Presented at Continual Learning Workshop, NeurIPS 2018, Montreal, Canada. 5 pages, 4 figures 

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Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents


Oct 29, 2018
Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such, Joel Lehman, Kenneth O. Stanley, Jeff Clune


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An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution


Jul 09, 2018
Rosanne Liu, Joel Lehman, Piero Molino, Felipe Petroski Such, Eric Frank, Alex Sergeev, Jason Yosinski


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Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning


Apr 20, 2018
Felipe Petroski Such, Vashisht Madhavan, Edoardo Conti, Joel Lehman, Kenneth O. Stanley, Jeff Clune


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Robust Spatial Filtering with Graph Convolutional Neural Networks


Jul 14, 2017
Felipe Petroski Such, Shagan Sah, Miguel Dominguez, Suhas Pillai, Chao Zhang, Andrew Michael, Nathan Cahill, Raymond Ptucha


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