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William Whitney
William Whitney
Verified email at cs.nyu.edu - Homepage
Title
Cited by
Cited by
Year
Deep convolutional inverse graphics network
TD Kulkarni, WF Whitney, P Kohli, J Tenenbaum
Advances in neural information processing systems 28, 2015
10002015
Model-based planning with discrete and continuous actions
M Henaff, WF Whitney, Y LeCun
arXiv preprint arXiv:1705.07177, 2017
57*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
552017
Understanding Visual Concepts with Continuation Learning
WF Whitney, M Chang, T Kulkarni, JB Tenenbaum
arXiv preprint arXiv:1502.04623, 2016
452016
Offline rl without off-policy evaluation
D Brandfonbrener, W Whitney, R Ranganath, J Bruna
Advances in Neural Information Processing Systems 34, 4933-4946, 2021
362021
Dynamics-aware embeddings
W Whitney, R Agarwal, K Cho, A Gupta
arXiv preprint arXiv:1908.09357, 2019
332019
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
162020
Disentangled Representations in Neural Models
WF Whitney
http://arxiv.org/abs/1602.02383, 2016
162016
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
62022
Offline contextual bandits with overparameterized models
D Brandfonbrener, W Whitney, R Ranganath, J Bruna
International Conference on Machine Learning, 1049-1058, 2021
6*2021
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
6*2021
Quantile Filtered Imitation Learning
D Brandfonbrener, WF Whitney, R Ranganath, J Bruna
arXiv preprint arXiv:2112.00950, 2021
32021
Disentangling Video with Independent Prediction
WF Whitney, R Fergus
arXiv preprint arXiv:1901.05590, 2019
12019
Understanding the Asymptotic Performance of Model-Based RL Methods
W Whitney, R Fergus
12018
Techniques for Sample-Efficient Reinforcement Learning
WF Whitney
New York University, 2021
2021
Learning Effect-Dependent Embeddings for Temporal Abstraction
WF Whitney, A Gupta
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Articles 1–16