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Joey Hong

Rules of the Road: Predicting Driving Behavior With a Convolutional Model of Semantic Interactions
2019 · Joey Hong, Benjamin Sapp, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 287
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When Should We Prefer Offline Reinforcement Learning Over Behavioral Cloning?
2022 · Kumar, Aviral, Hong, Joey, et al. · arXiv (Cornell University) · 23
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Latent Bandits Revisited
2020 · Hong, Joey, Kveton, Branislav, et al. · arXiv (Cornell University) · 21
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Learning to Influence Human Behavior with Offline Reinforcement Learning
2023 · Joey Hong, Sergey Levine, et al. · neural information processing systems · 10
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Hierarchical Bayesian Bandits
2021 · Hong, Joey, Kveton, Branislav, et al. · arXiv (Cornell University) · 8
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Latent Programmer: Discrete Latent Codes for Program Synthesis
2020 · Hong, Joey, Dohan, David, et al. · arXiv (Cornell University) · 8
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Ensemble Maximum Entropy Classification and Linear Regression for Author Age Prediction
2017 · Joey Hong, Chris A. Mattmann, et al. · IEEE International Conference on Information Reuse and Integration (IRI) · 8
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Deep Hierarchy in Bandits
2022 · Hong, Joey, Kveton, Branislav, et al. · arXiv (Cornell University) · 5
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Confidence-Conditioned Value Functions for Offline Reinforcement Learning
2022 · Hong, Joey, Kumar, Aviral, et al. · arXiv (Cornell University) · 4
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Thompson Sampling with a Mixture Prior
2021 · Hong, Joey, Kveton, Branislav, et al. · arXiv (Cornell University) · 3
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Non-Stationary Latent Bandits
2020 · Hong, Joey, Kveton, Branislav, et al. · arXiv (Cornell University) · 3
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Zero-Shot Goal-Directed Dialogue via RL on Imagined Conversations
2023 · Hong, Joey, Levine, Sergey, et al. · arXiv (Cornell University) · 2
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Multi-Task Off-Policy Learning from Bandit Feedback
2022 · Hong, Joey, Kveton, Branislav, et al. · arXiv (Cornell University) · 2
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Compositional Generalization and Decomposition in Neural Program Synthesis
2022 · Shi, Kensen, Hong, Joey, et al. · arXiv (Cornell University) · 2
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Non-Stationary Off-Policy Optimization
2020 · Hong, Joey, Kveton, Branislav, et al. · arXiv (Cornell University) · 2
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Natural Language Actor-Critic: Scalable Off-Policy Learning in Language Space
2025 · Hong, Joey, Liu, Kang, et al. · arXiv (Cornell University) · 1
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Planning without Search: Refining Frontier LLMs with Offline Goal-Conditioned RL
2025 · Joey Hong, Anca Dragan, et al. · neural information processing systems · 1
Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuning
2024 · Hong, Joey, Dragan, Anca, et al. · arXiv (Cornell University) · 1
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Zero-Overhead Introspection for Adaptive Test-Time Compute
2025 · Manvi, Rohin, Hong, Joey, et al. · arXiv (Cornell University)
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Interactive Dialogue Agents via Reinforcement Learning on Hindsight Regenerations
2024 · Hong, Joey, Lin, Jessica, et al. · arXiv (Cornell University)
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Strategically Conservative Q-Learning
2024 · Shimizu, Yutaka, Hong, Joey, et al. · arXiv (Cornell University)
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LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models
2023 · Abdulhai, Marwa, White, Isadora, et al. · arXiv (Cornell University)
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Offline RL with Observation Histories: Analyzing and Improving Sample Complexity
2023 · Hong, Joey, Dragan, Anca, et al. · arXiv (Cornell University)
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ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis
2023 · Shi, Kensen, Hong, Joey, et al. · arXiv (Cornell University)
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On the Sensitivity of Reward Inference to Misspecified Human Models
2022 · Hong, Joey, Bhatia, Kush, et al. · arXiv (Cornell University)
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Works count: 27
Citation count: 391
H-index: 7
I10-index: 4
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