Perry Dong

According to our database, Perry Dong authored at least 14 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

EXPO-FT: Sample-Efficient Reinforcement Learning Finetuning for Vision-Language-Action Models.

Perry Dong, Kuo-Han Hung, Tian Gao, Dorsa Sadigh, Chelsea Finn

CoRR, May, 2026

FASTER: Value-Guided Sampling for Fast RL.

Perry Dong, Alexander Swerdlow, Dorsa Sadigh, Chelsea Finn

CoRR, April, 2026

TQL: Scaling Q-Functions with Transformers by Preventing Attention Collapse.

Perry Dong, Kuo-Han Hung, Alexander Swerdlow, Dorsa Sadigh, Chelsea Finn

CoRR, February, 2026

2025

Posterior Behavioral Cloning: Pretraining BC Policies for Efficient RL Finetuning.

Andrew Wagenmaker, Perry Dong, Raymond Tsao, Chelsea Finn, Sergey Levine

CoRR, December, 2025

Value Flows.

Perry Dong, Chongyi Zheng, Chelsea Finn, Dorsa Sadigh, Benjamin Eysenbach

CoRR, October, 2025

EXPO: Stable Reinforcement Learning with Expressive Policies.

Perry Dong, Qiyang Li, Dorsa Sadigh, Chelsea Finn

CoRR, July, 2025

Reinforcement Learning via Implicit Imitation Guidance.

Perry Dong, Alec M. Lessing, Annie S. Chen, Chelsea Finn

CoRR, June, 2025

What Matters for Batch Online Reinforcement Learning in Robotics?

Perry Dong, Suvir Mirchandani, Dorsa Sadigh, Chelsea Finn

CoRR, May, 2025

2024

Adaptively Learning to Select-Rank in Online Platforms.

Jingyuan Wang, Perry Dong, Ying Jin, Ruohan Zhan, Zhengyuan Zhou

Proceedings of the Forty-first International Conference on Machine Learning, 2024

RLIF: Interactive Imitation Learning as Reinforcement Learning.

Jianlan Luo, Perry Dong, Yuexiang Zhai, Yi Ma, Sergey Levine

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Near-Optimal High-Probability Convergence for Non-Convex Stochastic Optimization with Variance Reduction.

Zijian Liu, Perry Dong, Srikanth Jagabathula, Zhengyuan Zhou

CoRR, 2023

Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning.

Jianlan Luo, Perry Dong, Jeffrey Wu, Aviral Kumar, Xinyang Geng, Sergey Levine

Proceedings of the Conference on Robot Learning, 2023

2022

Society of Agents: Regret Bounds of Concurrent Thompson Sampling.

Yan Chen, Perry Dong, Qinxun Bai, Maria Dimakopoulou, Wei Xu, Zhengyuan Zhou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Distributionally Robust Q-Learning.

Zijian Liu, Qinxun Bai, Jose H. Blanchet, Perry Dong, Wei Xu, Zhengqing Zhou, Zhengyuan Zhou

Proceedings of the International Conference on Machine Learning, 2022