Joey Hong

According to our database1, Joey Hong authored at least 24 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Strategically Conservative Q-Learning.
CoRR, 2024

Learning to Explore in POMDPs with Informational Rewards.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Offline RL with Observation Histories: Analyzing and Improving Sample Complexity.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models.
CoRR, 2023

Zero-Shot Goal-Directed Dialogue via RL on Imagined Conversations.
CoRR, 2023

ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis.
CoRR, 2023

Learning to Influence Human Behavior with Offline Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-Task Off-Policy Learning from Bandit Feedback.
Proceedings of the International Conference on Machine Learning, 2023

Confidence-Conditioned Value Functions for Offline Reinforcement Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

On the Sensitivity of Reward Inference to Misspecified Human Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
When Should We Prefer Offline Reinforcement Learning Over Behavioral Cloning?
CoRR, 2022

Compositional Generalization and Decomposition in Neural Program Synthesis.
CoRR, 2022

Deep Hierarchy in Bandits.
Proceedings of the International Conference on Machine Learning, 2022

Should I Run Offline Reinforcement Learning or Behavioral Cloning?
Proceedings of the Tenth International Conference on Learning Representations, 2022

Thompson Sampling with a Mixture Prior.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Hierarchical Bayesian Bandits.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Latent Programmer: Discrete Latent Codes for Program Synthesis.
Proceedings of the 38th International Conference on Machine Learning, 2021

Non-Stationary Off-Policy Optimization.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Non-Stationary Latent Bandits.
CoRR, 2020

Piecewise-Stationary Off-Policy Optimization.
CoRR, 2020

Latent Bandits Revisited.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Rules of the Road: Predicting Driving Behavior With a Convolutional Model of Semantic Interactions.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017
Ensemble Maximum Entropy Classification and Linear Regression for Author Age Prediction.
Proceedings of the 2017 IEEE International Conference on Information Reuse and Integration, 2017


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