William F. Whitney

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 19

Top Topics

Exploration Strategy

Relational Domains

Real World Scenes

Reinforcement Learning

Top Venues

Publications

William F. Whitney, Jacob Varley, Deepali Jain, Krzysztof Choromanski, Sumeet Singh, Vikas Sindhwani
Modeling the Real World with High-Density Visual Particle Dynamics. CoRR (2024)
Yulia Rubanova, Tatiana Lopez-Guevara, Kelsey R. Allen, William F. Whitney, Kimberly L. Stachenfeld, Tobias Pfaff
Learning rigid-body simulators over implicit shapes for large-scale scenes and vision. CoRR (2024)
William F. Whitney, Tatiana Lopez-Guevara, Tobias Pfaff, Yulia Rubanova, Thomas Kipf, Kim Stachenfeld, Kelsey R. Allen
Learning 3D Particle-based Simulators from RGB-D Videos. ICLR (2024)
Tatiana Lopez-Guevara, Yulia Rubanova, William F. Whitney, Tobias Pfaff, Kimberly L. Stachenfeld, Kelsey R. Allen
Scaling Face Interaction Graph Networks to Real World Scenes. CoRR (2024)
Cristina Pinneri, Sarah Bechtle, Markus Wulfmeier, Arunkumar Byravan, Jingwei Zhang, William F. Whitney, Martin A. Riedmiller
Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning. CoRR (2023)
William F. Whitney, Tatiana Lopez-Guevara, Tobias Pfaff, Yulia Rubanova, Thomas Kipf, Kimberly L. Stachenfeld, Kelsey R. Allen
Learning 3D Particle-based Simulators from RGB-D Videos. CoRR (2023)
Nathan Lambert, Markus Wulfmeier, William F. Whitney, Arunkumar Byravan, Michael Bloesch, Vibhavari Dasagi, Tim Hertweck, Martin A. Riedmiller
The Challenges of Exploration for Offline Reinforcement Learning. CoRR (2022)
David Brandfonbrener, William F. Whitney, Rajesh Ranganath, Joan Bruna
Quantile Filtered Imitation Learning. CoRR (2021)
William F. Whitney, Michael Bloesch, Jost Tobias Springenberg, Abbas Abdolmaleki, Martin A. Riedmiller
Rethinking Exploration for Sample-Efficient Policy Learning. CoRR (2021)
David Brandfonbrener, William F. Whitney, Rajesh Ranganath, Joan Bruna
Offline RL Without Off-Policy Evaluation. CoRR (2021)
David Brandfonbrener, William F. Whitney, Rajesh Ranganath, Joan Bruna
Offline Contextual Bandits with Overparameterized Models. ICML (2021)
David Brandfonbrener, William F. Whitney, Rajesh Ranganath, Joan Bruna
Overfitting and Optimization in Offline Policy Learning. CoRR (2020)
William F. Whitney, Rajat Agarwal, Kyunghyun Cho, Abhinav Gupta
Dynamics-Aware Embeddings. ICLR (2020)
William F. Whitney, Min Jae Song, David Brandfonbrener, Jaan Altosaar, Kyunghyun Cho
Evaluating representations by the complexity of learning low-loss predictors. CoRR (2020)
William F. Whitney, Rajat Agarwal, Kyunghyun Cho, Abhinav Gupta
Dynamics-aware Embeddings. CoRR (2019)
William F. Whitney, Rob Fergus
Disentangling Video with Independent Prediction. CoRR (2019)
Mikael Henaff, William F. Whitney, Yann LeCun
Model-Based Planning in Discrete Action Spaces. CoRR (2017)
Vlad Firoiu, William F. Whitney, Joshua B. Tenenbaum
Beating the World's Best at Super Smash Bros. with Deep Reinforcement Learning. CoRR (2017)
William F. Whitney, Michael Chang, Tejas D. Kulkarni, Joshua B. Tenenbaum
Understanding Visual Concepts with Continuation Learning. CoRR (2016)
Tejas D. Kulkarni, William F. Whitney, Pushmeet Kohli, Joshua B. Tenenbaum
Deep Convolutional Inverse Graphics Network. NIPS (2015)