Yuexiang Zhai

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 25

Top Topics

Convolutional Network

Reinforcement Learning

Top Venues

J. Mach. Learn. Res.

Publications

Shengbang Tong, Zhuang Liu, Yuexiang Zhai, Yi Ma, Yann LeCun, Saining Xie
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs. CoRR (2024)
Yuexiang Zhai, Hao Bai, Zipeng Lin, Jiayi Pan, Shengbang Tong, Yifei Zhou, Alane Suhr, Saining Xie, Yann LeCun, Yi Ma, Sergey Levine
Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning. CoRR (2024)
Ruiqi Zhang, Yuexiang Zhai, Andrea Zanette
Is Offline Decision Making Possible with Only Few Samples? Reliable Decisions in Data-Starved Bandits via Trust Region Enhancement. CoRR (2024)
Jianlan Luo, Perry Dong, Yuexiang Zhai, Yi Ma, Sergey Levine
RLIF: Interactive Imitation Learning as Reinforcement Learning. ICLR (2024)
Yuexiang Zhai, Shengbang Tong, Xiao Li, Mu Cai, Qing Qu, Yong Jae Lee, Yi Ma
Investigating the Catastrophic Forgetting in Multimodal Large Language Models. CoRR (2023)
Jianlan Luo, Perry Dong, Yuexiang Zhai, Yi Ma, Sergey Levine
RLIF: Interactive Imitation Learning as Reinforcement Learning. CoRR (2023)
Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Hao Bai, Yuexiang Zhai, Benjamin D. Haeffele, Yi Ma
White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is? CoRR (2023)
Mitsuhiko Nakamoto, Yuexiang Zhai, Anikait Singh, Max Sobol Mark, Yi Ma, Chelsea Finn, Aviral Kumar, Sergey Levine
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning. CoRR (2023)
Qiyang Li, Yuexiang Zhai, Yi Ma, Sergey Levine
Understanding the Complexity Gains of Single-Task RL with a Curriculum. ICML (2023)
Xili Dai, Ke Chen, Shengbang Tong, Jingyuan Zhang, Xingjian Gao, Mingyang Li, Druv Pai, Yuexiang Zhai, Xiaojun Yuan, Heung-Yeung Shum, Lionel M. Ni, Yi Ma
Closed-Loop Transcription via Convolutional Sparse Coding. CoRR (2023)
Marwa Abdulhai, Isadora White, Charlie Snell, Charles Sun, Joey Hong, Yuexiang Zhai, Kelvin Xu, Sergey Levine
LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models. CoRR (2023)
Yuexiang Zhai, Christina Baek, Zhengyuan Zhou, Jiantao Jiao, Yi Ma
Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning. J. Artif. Intell. Res. 73 (2022)
Abhishek Gupta, Aldo Pacchiano, Yuexiang Zhai, Sham M. Kakade, Sergey Levine
Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity. NeurIPS (2022)
Qiyang Li, Yuexiang Zhai, Yi Ma, Sergey Levine
Understanding the Complexity Gains of Single-Task RL with a Curriculum. CoRR (2022)
Abhishek Gupta, Aldo Pacchiano, Yuexiang Zhai, Sham M. Kakade, Sergey Levine
Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity. CoRR (2022)
Sheng Liu, Xiao Li, Yuexiang Zhai, Chong You, Zhihui Zhu, Carlos Fernandez-Granda, Qing Qu
Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training. NeurIPS (2021)
Sheng Liu, Xiao Li, Yuexiang Zhai, Chong You, Zhihui Zhu, Carlos Fernandez-Granda, Qing Qu
Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training. CoRR (2021)
Yuexiang Zhai, Christina Baek, Zhengyuan Zhou, Jiantao Jiao, Yi Ma
Computational Benefits of Intermediate Rewards for Hierarchical Planning. CoRR (2021)
Yuexiang Zhai, Zitong Yang, Zhenyu Liao, John Wright, Yi Ma
Complete Dictionary Learning via L4-Norm Maximization over the Orthogonal Group. J. Mach. Learn. Res. 21 (2020)
Qing Qu, Yuexiang Zhai, Xiao Li, Yuqian Zhang, Zhihui Zhu
Geometric Analysis of Nonconvex Optimization Landscapes for Overcomplete Learning. ICLR (2020)
Yuexiang Zhai, Hermish Mehta, Zhengyuan Zhou, Yi Ma
Understanding l4-based Dictionary Learning: Interpretation, Stability, and Robustness. ICLR (2020)
Yuexiang Zhai, Zitong Yang, Zhenyu Liao, John Wright, Yi Ma
-Norm Maximization over the Orthogonal Group. CoRR (2019)
Yichao Zhou, Haozhi Qi, Yuexiang Zhai, Qi Sun, Zhili Chen, Li-Yi Wei, Yi Ma
Learning to Reconstruct 3D Manhattan Wireframes from a Single Image. CoRR (2019)
Qing Qu, Yuexiang Zhai, Xiao Li, Yuqian Zhang, Zhihui Zhu
Analysis of the Optimization Landscapes for Overcomplete Representation Learning. CoRR (2019)
Yichao Zhou, Haozhi Qi, Yuexiang Zhai, Qi Sun, Zhili Chen, Li-Yi Wei, Yi Ma
Learning to Reconstruct 3D Manhattan Wireframes From a Single Image. ICCV (2019)