← Authors

Joey Hong

17 papers · 2019–2025 · 5 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (26) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (14) 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) πŸƒ Academic Marathon (6) πŸ† Keyword Champion (2) πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (51) πŸ’Ž Century Club (17) πŸ”₯ Unstoppable (7) ❓ The Questioner

Conferences

ICLR (6) ICML (5) AISTATS (3) NIPS (2) CVPR (1)

Top co-authors

Manzil Zaheer (8) Sergey Levine (7) Branislav Kveton (6) Anca Dragan (4) Mohammad Ghavamzadeh (4) Amr Ahmed (2) Charles Sutton (2) Aviral Kumar (2) Sumeet Katariya (2) Yinlam Chow (2)

Keywords

thompson sampling (4) regret bound (4) multi-armed bandit (3) bayesian inference (2) off-policy learning (2) hierarchical bayesian model (2) latent state (2) contextual bandit (2) autonomous driving (1) human behavior (1) offline reinforcement learning (1) bandit feedback (1) behavioral adaptation (1) hierarchical model (1) policy optimization (1) upper confidence bound (1) program synthesis (1) trajectory prediction (1) online learning (1) multi-task learning (1)

Papers

LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models ICML 2025
Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuning ICLR 2025
ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis ICLR 2024
Offline RL with Observation Histories: Analyzing and Improving Sample Complexity ICLR 2024
Learning to Explore in POMDPs with Informational Rewards ICML 2024
On the Sensitivity of Reward Inference to Misspecified Human Models ICLR 2023
Learning to Influence Human Behavior with Offline Reinforcement Learning NIPS 2023
Confidence-Conditioned Value Functions for Offline Reinforcement Learning ICLR 2023
Multi-Task Off-Policy Learning from Bandit Feedback ICML 2023
Should I Run Offline Reinforcement Learning or Behavioral Cloning? ICLR 2022
Hierarchical Bayesian Bandits AISTATS 2022
Deep Hierarchy in Bandits ICML 2022
Thompson Sampling with a Mixture Prior AISTATS 2022
Non-Stationary Off-Policy Optimization AISTATS 2021
Latent Programmer: Discrete Latent Codes for Program Synthesis ICML 2021
Latent Bandits Revisited NIPS 2020
Rules of the Road: Predicting Driving Behavior With a Convolutional Model of Semantic Interactions CVPR 2019