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The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning


Sep 07, 2021
Yujin Tang, David Ha


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Finding Game Levels with the Right Difficulty in a Few Trials through Intelligent Trial-and-Error


May 15, 2020
Miguel González-Duque, Rasmus Berg Palm, David Ha, Sebastian Risi


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Scones: Towards Conversational Authoring of Sketches


May 12, 2020
Forrest Huang, Eldon Schoop, David Ha, John Canny

* Long Paper, IUI '20: Proceedings of the 25th International Conference on Intelligent User Interfaces 

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Neuroevolution of Self-Interpretable Agents


Apr 02, 2020
Yujin Tang, Duong Nguyen, David Ha

* To appear at the Genetic and Evolutionary Computation Conference (GECCO 2020) as a full paper 

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SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks


Dec 25, 2019
Alex Lamb, Sherjil Ozair, Vikas Verma, David Ha

* Accepted WACV 2020 

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Learning to Predict Without Looking Ahead: World Models Without Forward Prediction


Oct 31, 2019
C. Daniel Freeman, Luke Metz, David Ha

* To appear at the Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019) 

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Weight Agnostic Neural Networks


Jun 11, 2019
Adam Gaier, David Ha


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A Learned Representation for Scalable Vector Graphics


Apr 04, 2019
Raphael Gontijo Lopes, David Ha, Douglas Eck, Jonathon Shlens


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Learning Latent Dynamics for Planning from Pixels


Dec 03, 2018
Danijar Hafner, Timothy Lillicrap, Ian Fischer, Ruben Villegas, David Ha, Honglak Lee, James Davidson

* 10 pages, 5 figures, 1 table 

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Deep Learning for Classical Japanese Literature


Dec 03, 2018
Tarin Clanuwat, Mikel Bober-Irizar, Asanobu Kitamoto, Alex Lamb, Kazuaki Yamamoto, David Ha

* To appear at Neural Information Processing Systems 2018 Workshop on Machine Learning for Creativity and Design 

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Reinforcement Learning for Improving Agent Design


Oct 09, 2018
David Ha


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Recurrent World Models Facilitate Policy Evolution


Sep 04, 2018
David Ha, Jürgen Schmidhuber

* To appear at NIPS 2018, selected for an oral presentation. arXiv admin note: substantial text overlap with arXiv:1803.10122 

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Learning via social awareness: Improving a deep generative sketching model with facial feedback


Aug 27, 2018
Natasha Jaques, Jennifer McCleary, Jesse Engel, David Ha, Fred Bertsch, Rosalind Picard, Douglas Eck


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World Models


May 09, 2018
David Ha, Jürgen Schmidhuber


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A Neural Representation of Sketch Drawings


May 19, 2017
David Ha, Douglas Eck


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PathNet: Evolution Channels Gradient Descent in Super Neural Networks


Jan 30, 2017
Chrisantha Fernando, Dylan Banarse, Charles Blundell, Yori Zwols, David Ha, Andrei A. Rusu, Alexander Pritzel, Daan Wierstra


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HyperNetworks


Dec 01, 2016
David Ha, Andrew Dai, Quoc V. Le


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