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William Whitney
William Whitney
DeepMind
Dirección de correo verificada de deepmind.com - Página principal
Título
Citado por
Citado por
Año
Deep convolutional inverse graphics network
TD Kulkarni, WF Whitney, P Kohli, J Tenenbaum
Advances in neural information processing systems 28, 2015
11352015
Offline rl without off-policy evaluation
D Brandfonbrener, W Whitney, R Ranganath, J Bruna
Advances in neural information processing systems 34, 4933-4946, 2021
1842021
Model-based planning with discrete and continuous actions
M Henaff, WF Whitney, Y LeCun
arXiv preprint arXiv:1705.07177, 2017
71*2017
Beating the world's best at Super Smash Bros. with deep reinforcement learning
V Firoiu, WF Whitney, JB Tenenbaum
arXiv preprint arXiv:1702.06230, 2017
672017
Dynamics-aware embeddings
W Whitney, R Agarwal, K Cho, A Gupta
arXiv preprint arXiv:1908.09357, 2019
612019
Understanding Visual Concepts with Continuation Learning
WF Whitney, M Chang, T Kulkarni, JB Tenenbaum
arXiv preprint arXiv:1502.04623, 2016
512016
The challenges of exploration for offline reinforcement learning
N Lambert, M Wulfmeier, W Whitney, A Byravan, M Bloesch, V Dasagi, ...
arXiv preprint arXiv:2201.11861, 2022
402022
Learning rigid dynamics with face interaction graph networks
KR Allen, Y Rubanova, T Lopez-Guevara, W Whitney, ...
arXiv preprint arXiv:2212.03574, 2022
312022
Evaluating representations by the complexity of learning low-loss predictors
WF Whitney, MJ Song, D Brandfonbrener, J Altosaar, K Cho
arXiv preprint arXiv:2009.07368, 2020
282020
Decoupled exploration and exploitation policies for sample-efficient reinforcement learning
WF Whitney, M Bloesch, JT Springenberg, A Abdolmaleki, K Cho, ...
arXiv preprint arXiv:2101.09458, 2021
19*2021
Disentangled Representations in Neural Models
WF Whitney
http://arxiv.org/abs/1602.02383, 2016
182016
Offline contextual bandits with overparameterized models
D Brandfonbrener, W Whitney, R Ranganath, J Bruna
International Conference on Machine Learning, 1049-1058, 2021
16*2021
Learning 3D Particle-based Simulators from RGB-D Videos
WF Whitney, T Lopez-Guevara, T Pfaff, Y Rubanova, T Kipf, K Stachenfeld, ...
arXiv preprint arXiv:2312.05359, 2023
82023
Quantile filtered imitation learning
D Brandfonbrener, WF Whitney, R Ranganath, J Bruna
arXiv preprint arXiv:2112.00950, 2021
82021
Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning
C Pinneri, S Bechtle, M Wulfmeier, A Byravan, J Zhang, WF Whitney, ...
arXiv preprint arXiv:2309.07578, 2023
32023
Understanding the asymptotic performance of model-based rl methods
W Whitney, R Fergus
22018
Modeling the real world with high-density visual particle dynamics
WF Whitney, J Varley, D Jain, K Choromanski, S Singh, V Sindhwani
arXiv preprint arXiv:2406.19800, 2024
12024
Learning rigid-body simulators over implicit shapes for large-scale scenes and vision
Y Rubanova, T Lopez-Guevara, KR Allen, WF Whitney, K Stachenfeld, ...
arXiv preprint arXiv:2405.14045, 2024
12024
Disentangling Video with Independent Prediction
WF Whitney, R Fergus
arXiv preprint arXiv:1901.05590, 2019
12019
Neural rendering enables dynamic tomography
I Grega, WF Whitney, VS Deshpande
arXiv preprint arXiv:2410.20558, 2024
2024
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20