Joey Hong
17 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(10)
Machine Learning
(10)
Learning Types Β· Machine Learning
(9)
Reinforcement Learning
(7)
Core AI
(7)
Methods
(7)
Deep Learning
(4)
Optimization & Theory
(4)
Mathematics & Optimization
(3)
Optimization
(3)
Applications
(2)
Bayesian & Probabilistic
(2)
Core Methods
(2)
Learning Types Β· Deep Learning
(2)
Computer Vision
(1)
Keywords
offline reinforcement learning
(4)
thompson sampling
(4)
regret bound
(4)
multi-armed bandit
(3)
reinforcement learning
(2)
value function
(2)
program synthesis
(2)
contextual bandit
(2)
large language model
(2)
latent state
(2)
off-policy learning
(2)
hierarchical bayesian model
(2)
bayesian inference
(2)
state representation
(1)
policy optimization
(1)
compositional generalization
(1)
online learning
(1)
multi-task learning
(1)
trajectory prediction
(1)
partial observability
(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
Learning to Explore in POMDPs with Informational Rewards
ICML 2024
Offline RL with Observation Histories: Analyzing and Improving Sample Complexity
ICLR 2024
Confidence-Conditioned Value Functions for Offline Reinforcement Learning
ICLR 2023
Learning to Influence Human Behavior with Offline Reinforcement Learning
NeurIPS 2023
Multi-Task Off-Policy Learning from Bandit Feedback
ICML 2023
On the Sensitivity of Reward Inference to Misspecified Human Models
ICLR 2023
Deep Hierarchy in Bandits
ICML 2022
Hierarchical Bayesian Bandits
AISTATS 2022
Should I Run Offline Reinforcement Learning or Behavioral Cloning?
ICLR 2022
Thompson Sampling with a Mixture Prior
AISTATS 2022
Latent Programmer: Discrete Latent Codes for Program Synthesis
ICML 2021
Non-Stationary Off-Policy Optimization
AISTATS 2021
Latent Bandits Revisited
NeurIPS 2020
Rules of the Road: Predicting Driving Behavior With a Convolutional Model of Semantic Interactions
CVPR 2019