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Joey Hong
Joey Hong
UC Berkeley, Google Research
Verified email at berkeley.edu
Title
Cited by
Cited by
Year
Rules of the road: Predicting driving behavior with a convolutional model of semantic interactions
J Hong, B Sapp, J Philbin
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1842019
When Should We Prefer Offline Reinforcement Learning Over Behavioral Cloning?
A Kumar, J Hong, A Singh, S Levine
International Conference on Learning Representations, 2021
41*2021
Latent bandits revisited
J Hong, B Kveton, M Zaheer, Y Chow, A Ahmed, C Boutilier
Advances in Neural Information Processing Systems 33, 13423-13433, 2020
272020
Hierarchical bayesian bandits
J Hong, B Kveton, M Zaheer, M Ghavamzadeh
International Conference on Artificial Intelligence and Statistics, 7724-7741, 2022
152022
Trajectory prediction on top-down scenes and associated model
XJ Hong, BJ Sapp, JWV Philbin, KZ Wang
US Patent 11,195,418, 2021
92021
Latent programmer: Discrete latent codes for program synthesis
J Hong, D Dohan, R Singh, C Sutton, M Zaheer
International Conference on Machine Learning, 4308-4318, 2021
92021
Thompson sampling with a mixture prior
J Hong, B Kveton, M Zaheer, M Ghavamzadeh, C Boutilier
International Conference on Artificial Intelligence and Statistics, 7565-7586, 2022
72022
Non-stationary off-policy optimization
J Hong, B Kveton, M Zaheer, Y Chow, A Ahmed
International Conference on Artificial Intelligence and Statistics, 2494-2502, 2021
62021
Ensemble Maximum Entropy Classification and Linear Regression for Author Age Prediction
J Hong, C Mattmann, P Ramirez
2017 IEEE International Conference on Information Reuse and Integration (IRI), 2017
62017
Deep Hierarchy in Bandits
J Hong, B Kveton, S Katariya, M Zaheer, M Ghavamzadeh
International Conference on Machine Learning, 2022
52022
Non-stationary latent bandits
J Hong, B Kveton, M Zaheer, Y Chow, A Ahmed, M Ghavamzadeh, ...
arXiv preprint arXiv:2012.00386, 2020
32020
Learning to Influence Human Behavior with Offline Reinforcement Learning
J Hong, A Dragan, S Levine
arXiv preprint arXiv:2303.02265, 2023
12023
On the Sensitivity of Reward Inference to Misspecified Human Models
J Hong, K Bhatia, A Dragan
arXiv preprint arXiv:2212.04717, 2022
12022
Confidence-Conditioned Value Functions for Offline Reinforcement Learning
J Hong, A Kumar, S Levine
arXiv preprint arXiv:2212.04607, 2022
12022
Compositional Generalization and Decomposition in Neural Program Synthesis
K Shi, J Hong, M Zaheer, P Yin, C Sutton
arXiv preprint arXiv:2204.03758, 2022
12022
Trajectory prediction on top-down scenes and associated model
XJ Hong, BJ Sapp, JWV Philbin, KZ Wang
US Patent App. 17/542,880, 2022
12022
Multi-Task Off-Policy Learning from Bandit Feedback
J Hong, B Kveton, S Katariya, M Zaheer, M Ghavamzadeh
arXiv preprint arXiv:2212.04720, 2022
2022
Trajectory prediction on top-down scenes
XJ Hong, BJ Sapp
US Patent 11,169,531, 2021
2021
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