Joey Hong - RankMe

43 papers A* 14A 3Misc 1Journal 25

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models. ICML Marwa Abdulhai, Isadora White, Charlie Victor Snell, Charles Sun, Joey Hong, Yuexiang Zhai, Kelvin Xu, Sergey Levine
2025	J	`jnl`	Natural Language Actor-Critic: Scalable Off-Policy Learning in Language Space. CoRR Joey Hong, Kang Liu, Zhan Ling, Jiecao Chen, Sergey Levine
2025	J	`jnl`	Planning without Search: Refining Frontier LLMs with Offline Goal-Conditioned RL. CoRR Joey Hong, Anca D. Dragan, Sergey Levine
2025	A*	`conf`	Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuning. ICLR Joey Hong, Anca D. Dragan, Sergey Levine
2025	J	`jnl`	Zero-Overhead Introspection for Adaptive Test-Time Compute. CoRR Rohin Manvi, Joey Hong, Tim Seyde, Maxime Labonne, Mathias Lechner, Sergey Levine
2024	A*	`conf`	ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis. ICLR Kensen Shi, Joey Hong, Yinlin Deng, Pengcheng Yin, Manzil Zaheer, Charles Sutton
2024	J	`jnl`	Interactive Dialogue Agents via Reinforcement Learning on Hindsight Regenerations. CoRR Joey Hong, Jessica Lin, Anca D. Dragan, Sergey Levine
2024	A*	`conf`	Learning to Explore in POMDPs with Informational Rewards. ICML Annie Xie, Logan M. Bhamidipaty, Evan Zheran Liu, Joey Hong, Sergey Levine, Chelsea Finn
2024	A*	`conf`	Offline RL with Observation Histories: Analyzing and Improving Sample Complexity. ICLR Joey Hong, Anca D. Dragan, Sergey Levine
2024	J	`jnl`	Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuning. CoRR Joey Hong, Anca D. Dragan, Sergey Levine
2024	J	`jnl`	Strategically Conservative Q-Learning. CoRR Yutaka Shimizu, Joey Hong, Sergey Levine, Masayoshi Tomizuka
2023	A*	`conf`	Confidence-Conditioned Value Functions for Offline Reinforcement Learning. ICLR Joey Hong, Aviral Kumar, Sergey Levine
2023	J	`jnl`	ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis. CoRR Kensen Shi, Joey Hong, Manzil Zaheer, Pengcheng Yin, Charles Sutton
2023	J	`jnl`	LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models. CoRR Marwa Abdulhai, Isadora White, Charlie Snell, Charles Sun, Joey Hong, Yuexiang Zhai, Kelvin Xu, Sergey Levine
2023	A*	`conf`	Learning to Influence Human Behavior with Offline Reinforcement Learning. NeurIPS Joey Hong, Sergey Levine, Anca D. Dragan
2023	J	`jnl`	Learning to Influence Human Behavior with Offline Reinforcement Learning. CoRR Joey Hong, Anca D. Dragan, Sergey Levine
2023	A*	`conf`	Multi-Task Off-Policy Learning from Bandit Feedback. ICML Joey Hong, Branislav Kveton, Manzil Zaheer, Sumeet Katariya, Mohammad Ghavamzadeh
2023	J	`jnl`	Offline RL with Observation Histories: Analyzing and Improving Sample Complexity. CoRR Joey Hong, Anca D. Dragan, Sergey Levine
2023	A*	`conf`	On the Sensitivity of Reward Inference to Misspecified Human Models. ICLR Joey Hong, Kush Bhatia, Anca D. Dragan
2023	J	`jnl`	Zero-Shot Goal-Directed Dialogue via RL on Imagined Conversations. CoRR Joey Hong, Sergey Levine, Anca D. Dragan
2022	J	`jnl`	Compositional Generalization and Decomposition in Neural Program Synthesis. CoRR Kensen Shi, Joey Hong, Manzil Zaheer, Pengcheng Yin, Charles Sutton
2022	J	`jnl`	Confidence-Conditioned Value Functions for Offline Reinforcement Learning. CoRR Joey Hong, Aviral Kumar, Sergey Levine
2022	A*	`conf`	Deep Hierarchy in Bandits. ICML Joey Hong, Branislav Kveton, Sumeet Katariya, Manzil Zaheer, Mohammad Ghavamzadeh
2022	J	`jnl`	Deep Hierarchy in Bandits. CoRR Joey Hong, Branislav Kveton, Sumeet Katariya, Manzil Zaheer, Mohammad Ghavamzadeh
2022	A	`conf`	Hierarchical Bayesian Bandits. AISTATS Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh
2022	J	`jnl`	Multi-Task Off-Policy Learning from Bandit Feedback. CoRR Joey Hong, Branislav Kveton, Sumeet Katariya, Manzil Zaheer, Mohammad Ghavamzadeh
2022	J	`jnl`	On the Sensitivity of Reward Inference to Misspecified Human Models. CoRR Joey Hong, Kush Bhatia, Anca D. Dragan
2022	A*	`conf`	Should I Run Offline Reinforcement Learning or Behavioral Cloning? ICLR Aviral Kumar, Joey Hong, Anikait Singh, Sergey Levine
2022	A	`conf`	Thompson Sampling with a Mixture Prior. AISTATS Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh, Craig Boutilier
2022	J	`jnl`	When Should We Prefer Offline Reinforcement Learning Over Behavioral Cloning? CoRR Aviral Kumar, Joey Hong, Anikait Singh, Sergey Levine
2021	J	`jnl`	Hierarchical Bayesian Bandits. CoRR Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh
2021	A*	`conf`	Latent Programmer: Discrete Latent Codes for Program Synthesis. ICML Joey Hong, David Dohan, Rishabh Singh, Charles Sutton, Manzil Zaheer
2021	A	`conf`	Non-Stationary Off-Policy Optimization. AISTATS Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed
2021	J	`jnl`	Thompson Sampling with a Mixture Prior. CoRR Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh, Craig Boutilier
2020	A*	`conf`	Latent Bandits Revisited. NeurIPS Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Craig Boutilier
2020	J	`jnl`	Latent Bandits Revisited. CoRR Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Craig Boutilier
2020	J	`jnl`	Latent Programmer: Discrete Latent Codes for Program Synthesis. CoRR Joey Hong, David Dohan, Rishabh Singh, Charles Sutton, Manzil Zaheer
2020	J	`jnl`	Non-Stationary Latent Bandits. CoRR Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Mohammad Ghavamzadeh, Craig Boutilier
2020	J	`jnl`	Piecewise-Stationary Off-Policy Optimization. CoRR Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed
2019	A*	`conf`	Rules of the Road: Predicting Driving Behavior With a Convolutional Model of Semantic Interactions. CVPR Joey Hong, Benjamin Sapp, James Philbin
2019	J	`jnl`	Rules of the Road: Predicting Driving Behavior with a Convolutional Model of Semantic Interactions. CoRR Joey Hong, Benjamin Sapp, James Philbin
2017	Misc	`conf`	Ensemble Maximum Entropy Classification and Linear Regression for Author Age Prediction. IRI Joey Hong, Chris A. Mattmann, Paul M. Ramirez
2016	J	`jnl`	Ensemble Maximum Entropy Classification and Linear Regression for Author Age Prediction. CoRR Joey Hong, Chris Mattmann, Paul M. Ramirez