David Ha
David Ha
Google Brain
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Citeret af
Citeret af
D Ha, A Dai, QV Le
Fifth International Conference on Learning Representations (ICLR 2017), 2016
Learning Latent Dynamics for Planning from Pixels
D Hafner, T Lillicrap, I Fischer, R Villegas, D Ha, H Lee, J Davidson
Thirty-sixth International Conference on Machine Learning (ICML 2019), 2018
A Neural Representation of Sketch Drawings
D Ha, D Eck
Sixth International Conference on Learning Representations (ICLR 2018), 2017
World Models
D Ha, J Schmidhuber
https://worldmodels.github.io/, 2018
Pathnet: Evolution channels gradient descent in super neural networks
C Fernando, D Banarse, C Blundell, Y Zwols, D Ha, AA Rusu, A Pritzel, ...
arXiv preprint arXiv:1701.08734, 2017
Recurrent World Models Facilitate Policy Evolution
D Ha, J Schmidhuber
Advances in Neural Information Processing Systems 31 (NeurIPS 2018), 2451ー2463, 2018
Deep Learning for Classical Japanese Literature
T Clanuwat, M Bober-Irizar, A Kitamoto, A Lamb, K Yamamoto, D Ha
Neural Information Processing Systems 2018, ML for Creativity Workshop, 2018
Weight Agnostic Neural Networks
A Gaier, D Ha
Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 5365ー5379, 2019
Reinforcement Learning for Improving Agent Design
D Ha
Artificial life 25 (4), 352-365, 2019
Pommerman: A Multi-Agent Playground
C Resnick, W Eldridge, D Ha, D Britz, J Foerster, J Togelius, K Cho, ...
AAAI 2019 Workshop on Reinforcement Learning in Games, 2018
Neuroevolution of Self-Interpretable Agents
Y Tang, D Nguyen, D Ha
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2020), 2020
A Learned Representation for Scalable Vector Graphics
RG Lopes, D Ha, D Eck, J Shlens
International Conference on Computer Vision (ICCV 2019), 2019
Evolving stable strategies
D Ha
Experiments in handwriting with a neural network
S Carter, D Ha, I Johnson, C Olah
Distill 1 (12), e4, 2016
Learning via social awareness: improving sketch representations with facial feedback
N Jaques, J Engel, D Ha, F Bertsch, R Picard, D Eck
ICLR 2018 Workshop Track, 2018
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction
CD Freeman, L Metz, D Ha
Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 5380ー5391, 2019
Collabdraw: An environment for collaborative sketching with an artificial agent
J Fan, M Dinculescu, D Ha
ACM Creativity & Cognition ’19, June 23–26, 2019, San Diego, CA, 2019
Scones: towards conversational authoring of sketches
F Huang, E Schoop, D Ha, J Canny
Proceedings of the 25th International Conference on Intelligent User …, 2020
Paper Cubes: Evolving 3D characters in Augmented Reality using Recurrent Neural Networks
A Fusté, J Amores, D Ha, J Jongejan, A Pitaru
NIPS 2017, Workshop on Machine Learning for Creativity and Design, 2017
Finding Game Levels with the Right Difficulty in a Few Trials through Intelligent Trial-and-Error
M González-Duque, RB Palm, D Ha, S Risi
IEEE Conference on Games 2020, 2020
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Artikler 1–20