Joey Hong

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 35

Top Topics

Multi Armed Bandits

Reinforcement Learning

Pac Learnability

Hierarchical Bayesian

Top Venues

Publications

Yutaka Shimizu, Joey Hong, Sergey Levine, Masayoshi Tomizuka
Strategically Conservative Q-Learning. CoRR (2024)
Joey Hong, Anca D. Dragan, Sergey Levine
Offline RL with Observation Histories: Analyzing and Improving Sample Complexity. ICLR (2024)
Kensen Shi, Joey Hong, Yinlin Deng, Pengcheng Yin, Manzil Zaheer, Charles Sutton
ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis. ICLR (2024)
Joey Hong, Kush Bhatia, Anca D. Dragan
On the Sensitivity of Reward Inference to Misspecified Human Models. ICLR (2023)
Joey Hong, Anca D. Dragan, Sergey Levine
Offline RL with Observation Histories: Analyzing and Improving Sample Complexity. CoRR (2023)
Joey Hong, Aviral Kumar, Sergey Levine
Confidence-Conditioned Value Functions for Offline Reinforcement Learning. ICLR (2023)
Kensen Shi, Joey Hong, Manzil Zaheer, Pengcheng Yin, Charles Sutton
ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis. CoRR (2023)
Joey Hong, Sergey Levine, Anca D. Dragan
Zero-Shot Goal-Directed Dialogue via RL on Imagined Conversations. CoRR (2023)
Joey Hong, Anca D. Dragan, Sergey Levine
Learning to Influence Human Behavior with Offline Reinforcement Learning. CoRR (2023)
Joey Hong, Sergey Levine, Anca D. Dragan
Learning to Influence Human Behavior with Offline Reinforcement Learning. NeurIPS (2023)
Joey Hong, Branislav Kveton, Manzil Zaheer, Sumeet Katariya, Mohammad Ghavamzadeh
Multi-Task Off-Policy Learning from Bandit Feedback. ICML (2023)
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 (2023)
Joey Hong, Branislav Kveton, Sumeet Katariya, Manzil Zaheer, Mohammad Ghavamzadeh
Multi-Task Off-Policy Learning from Bandit Feedback. CoRR (2022)
Aviral Kumar, Joey Hong, Anikait Singh, Sergey Levine
Should I Run Offline Reinforcement Learning or Behavioral Cloning? ICLR (2022)
Joey Hong, Branislav Kveton, Sumeet Katariya, Manzil Zaheer, Mohammad Ghavamzadeh
Deep Hierarchy in Bandits. CoRR (2022)
Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh
Hierarchical Bayesian Bandits. AISTATS (2022)
Joey Hong, Branislav Kveton, Sumeet Katariya, Manzil Zaheer, Mohammad Ghavamzadeh
Deep Hierarchy in Bandits. ICML (2022)
Joey Hong, Kush Bhatia, Anca D. Dragan
On the Sensitivity of Reward Inference to Misspecified Human Models. CoRR (2022)
Aviral Kumar, Joey Hong, Anikait Singh, Sergey Levine
When Should We Prefer Offline Reinforcement Learning Over Behavioral Cloning? CoRR (2022)
Joey Hong, Aviral Kumar, Sergey Levine
Confidence-Conditioned Value Functions for Offline Reinforcement Learning. CoRR (2022)
Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh, Craig Boutilier
Thompson Sampling with a Mixture Prior. AISTATS (2022)
Kensen Shi, Joey Hong, Manzil Zaheer, Pengcheng Yin, Charles Sutton
Compositional Generalization and Decomposition in Neural Program Synthesis. CoRR (2022)
Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh, Craig Boutilier
Thompson Sampling with a Mixture Prior. CoRR (2021)
Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh
Hierarchical Bayesian Bandits. CoRR (2021)
Joey Hong, David Dohan, Rishabh Singh, Charles Sutton, Manzil Zaheer
Latent Programmer: Discrete Latent Codes for Program Synthesis. ICML (2021)
Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed
Non-Stationary Off-Policy Optimization. AISTATS (2021)
Joey Hong, David Dohan, Rishabh Singh, Charles Sutton, Manzil Zaheer
Latent Programmer: Discrete Latent Codes for Program Synthesis. CoRR (2020)
Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed
Piecewise-Stationary Off-Policy Optimization. CoRR (2020)
Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Mohammad Ghavamzadeh, Craig Boutilier
Non-Stationary Latent Bandits. CoRR (2020)
Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Craig Boutilier
Latent Bandits Revisited. CoRR (2020)
Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Craig Boutilier
Latent Bandits Revisited. NeurIPS (2020)
Joey Hong, Benjamin Sapp, James Philbin
Rules of the Road: Predicting Driving Behavior With a Convolutional Model of Semantic Interactions. CVPR (2019)
Joey Hong, Benjamin Sapp, James Philbin
Rules of the Road: Predicting Driving Behavior with a Convolutional Model of Semantic Interactions. CoRR (2019)
Joey Hong, Chris A. Mattmann, Paul M. Ramirez
Ensemble Maximum Entropy Classification and Linear Regression for Author Age Prediction. IRI (2017)
Joey Hong, Chris Mattmann, Paul M. Ramirez
Ensemble Maximum Entropy Classification and Linear Regression for Author Age Prediction. CoRR (2016)