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ORCIDJoey Hong
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2020 – today
- 2024
[c16]Joey Hong, Anca D. Dragan, Sergey Levine:
Offline RL with Observation Histories: Analyzing and Improving Sample Complexity. ICLR 2024- [c15]Kensen Shi, Joey Hong, Yinlin Deng, Pengcheng Yin, Manzil Zaheer, Charles Sutton:
ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis. ICLR 2024 - [c14]Annie Xie, Logan M. Bhamidipaty, Evan Zheran Liu, Joey Hong, Sergey Levine, Chelsea Finn:
Learning to Explore in POMDPs with Informational Rewards. ICML 2024 - [i20]Yutaka Shimizu, Joey Hong, Sergey Levine, Masayoshi Tomizuka:
Strategically Conservative Q-Learning. CoRR abs/2406.04534 (2024) - 2023
- [c13]Joey Hong, Kush Bhatia, Anca D. Dragan:
On the Sensitivity of Reward Inference to Misspecified Human Models. ICLR 2023 - [c12]Joey Hong, Aviral Kumar, Sergey Levine:
Confidence-Conditioned Value Functions for Offline Reinforcement Learning. ICLR 2023 - [c11]Joey Hong, Branislav Kveton, Manzil Zaheer, Sumeet Katariya, Mohammad Ghavamzadeh:
Multi-Task Off-Policy Learning from Bandit Feedback. ICML 2023: 13157-13173 - [c10]Joey Hong, Sergey Levine, Anca D. Dragan:
Learning to Influence Human Behavior with Offline Reinforcement Learning. NeurIPS 2023 - [i19]Joey Hong, Anca D. Dragan, Sergey Levine:
Learning to Influence Human Behavior with Offline Reinforcement Learning. CoRR abs/2303.02265 (2023) - [i18]Kensen Shi, Joey Hong, Manzil Zaheer, Pengcheng Yin, Charles Sutton:
ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis. CoRR abs/2307.13883 (2023) - [i17]Joey Hong, Anca D. Dragan, Sergey Levine:
Offline RL with Observation Histories: Analyzing and Improving Sample Complexity. CoRR abs/2310.20663 (2023) - [i16]Joey Hong, Sergey Levine, Anca D. Dragan:
Zero-Shot Goal-Directed Dialogue via RL on Imagined Conversations. CoRR abs/2311.05584 (2023) - [i15]Marwa Abdulhai, Isadora White, Charlie Snell, Charles Sun, Joey Hong, Yuexiang Zhai, Kelvin Xu, Sergey Levine:
LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models. CoRR abs/2311.18232 (2023) - 2022
- [c9]Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh, Craig Boutilier:
Thompson Sampling with a Mixture Prior. AISTATS 2022: 7565-7586 - [c8]Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh:
Hierarchical Bayesian Bandits. AISTATS 2022: 7724-7741 - [c7]Aviral Kumar, Joey Hong, Anikait Singh, Sergey Levine:
Should I Run Offline Reinforcement Learning or Behavioral Cloning? ICLR 2022 - [c6]Joey Hong, Branislav Kveton, Sumeet Katariya, Manzil Zaheer, Mohammad Ghavamzadeh:
Deep Hierarchy in Bandits. ICML 2022: 8833-8851 - [i14]Joey Hong, Branislav Kveton, Sumeet Katariya, Manzil Zaheer, Mohammad Ghavamzadeh:
Deep Hierarchy in Bandits. CoRR abs/2202.01454 (2022) - [i13]Kensen Shi, Joey Hong, Manzil Zaheer, Pengcheng Yin, Charles Sutton:
Compositional Generalization and Decomposition in Neural Program Synthesis. CoRR abs/2204.03758 (2022) - [i12]Aviral Kumar, Joey Hong, Anikait Singh, Sergey Levine:
When Should We Prefer Offline Reinforcement Learning Over Behavioral Cloning? CoRR abs/2204.05618 (2022) - [i11]Joey Hong, Aviral Kumar, Sergey Levine:
Confidence-Conditioned Value Functions for Offline Reinforcement Learning. CoRR abs/2212.04607 (2022) - [i10]Joey Hong, Kush Bhatia, Anca D. Dragan:
On the Sensitivity of Reward Inference to Misspecified Human Models. CoRR abs/2212.04717 (2022) - [i9]Joey Hong, Branislav Kveton, Sumeet Katariya, Manzil Zaheer, Mohammad Ghavamzadeh:
Multi-Task Off-Policy Learning from Bandit Feedback. CoRR abs/2212.04720 (2022) - 2021
- [c5]Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed:
Non-Stationary Off-Policy Optimization. AISTATS 2021: 2494-2502 - [c4]Joey Hong, David Dohan, Rishabh Singh, Charles Sutton, Manzil Zaheer:
Latent Programmer: Discrete Latent Codes for Program Synthesis. ICML 2021: 4308-4318 - [i8]Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh, Craig Boutilier:
Thompson Sampling with a Mixture Prior. CoRR abs/2106.05608 (2021) - [i7]Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh:
Hierarchical Bayesian Bandits. CoRR abs/2111.06929 (2021) - 2020
- [c3]Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Craig Boutilier:
Latent Bandits Revisited. NeurIPS 2020 - [i6]Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed:
Piecewise-Stationary Off-Policy Optimization. CoRR abs/2006.08236 (2020) - [i5]Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Craig Boutilier:
Latent Bandits Revisited. CoRR abs/2006.08714 (2020) - [i4]Joey Hong, David Dohan, Rishabh Singh, Charles Sutton, Manzil Zaheer:
Latent Programmer: Discrete Latent Codes for Program Synthesis. CoRR abs/2012.00377 (2020) - [i3]Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Mohammad Ghavamzadeh, Craig Boutilier:
Non-Stationary Latent Bandits. CoRR abs/2012.00386 (2020)
2010 – 2019
- 2019
- [c2]Joey Hong, Benjamin Sapp, James Philbin:
Rules of the Road: Predicting Driving Behavior With a Convolutional Model of Semantic Interactions. CVPR 2019: 8454-8462 - [i2]Joey Hong, Benjamin Sapp, James Philbin:
Rules of the Road: Predicting Driving Behavior with a Convolutional Model of Semantic Interactions. CoRR abs/1906.08945 (2019) - 2017
- [c1]Joey Hong, Chris A. Mattmann, Paul M. Ramirez:
Ensemble Maximum Entropy Classification and Linear Regression for Author Age Prediction. IRI 2017: 509-516 - 2016
- [i1]Joey Hong, Chris Mattmann, Paul M. Ramirez:
Ensemble Maximum Entropy Classification and Linear Regression for Author Age Prediction. CoRR abs/1610.00852 (2016)
Coauthor Index
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last updated on 2024-09-04 01:21 CEST by the dblp team
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