Perry Dong

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 8

Top Topics

Markov Decision Process

Variance Reduction

Reinforcement Learning

Top Venues

Publications

Jingyuan Wang, Perry Dong, Ying Jin, Ruohan Zhan, Zhengyuan Zhou
Adaptively Learning to Select-Rank in Online Platforms. CoRR (2024)
Jianlan Luo, Perry Dong, Yuexiang Zhai, Yi Ma, Sergey Levine
RLIF: Interactive Imitation Learning as Reinforcement Learning. ICLR (2024)
Zijian Liu, Perry Dong, Srikanth Jagabathula, Zhengyuan Zhou
Near-Optimal High-Probability Convergence for Non-Convex Stochastic Optimization with Variance Reduction. CoRR (2023)
Jianlan Luo, Perry Dong, Yuexiang Zhai, Yi Ma, Sergey Levine
RLIF: Interactive Imitation Learning as Reinforcement Learning. CoRR (2023)
Jianlan Luo, Perry Dong, Jeffrey Wu, Aviral Kumar, Xinyang Geng, Sergey Levine
Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning. CoRL (2023)
Jianlan Luo, Perry Dong, Jeffrey Wu, Aviral Kumar, Xinyang Geng, Sergey Levine
Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning. CoRR (2023)
Yan Chen, Perry Dong, Qinxun Bai, Maria Dimakopoulou, Wei Xu, Zhengyuan Zhou
Society of Agents: Regret Bounds of Concurrent Thompson Sampling. NeurIPS (2022)
Zijian Liu, Qinxun Bai, Jose H. Blanchet, Perry Dong, Wei Xu, Zhengqing Zhou, Zhengyuan Zhou
Distributionally Robust Q-Learning. ICML (2022)