Li, Qiyang

16 publications

ICLR 2025 Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data Zhiyuan Zhou, Andy Peng, Qiyang Li, Sergey Levine, Aviral Kumar

ICML 2025 Flow Q-Learning Seohong Park, Qiyang Li, Sergey Levine

ICML 2025 Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration Max Wilcoxson, Qiyang Li, Kevin Frans, Sergey Levine

NeurIPS 2025 Reinforcement Learning with Action Chunking Qiyang Li, Zhiyuan Zhou, Sergey Levine

CVPR 2024 OpenEQA: Embodied Question Answering in the Era of Foundation Models Arjun Majumdar, Anurag Ajay, Xiaohan Zhang, Pranav Putta, Sriram Yenamandra, Mikael Henaff, Sneha Silwal, Paul Mcvay, Oleksandr Maksymets, Sergio Arnaud, Karmesh Yadav, Qiyang Li, Ben Newman, Mohit Sharma, Vincent Berges, Shiqi Zhang, Pulkit Agrawal, Yonatan Bisk, Dhruv Batra, Mrinal Kalakrishnan, Franziska Meier, Chris Paxton, Alexander Sax, Aravind Rajeswaran

ICLR 2024 REFACTOR: Learning to Extract Theorems from Proofs Jin Peng Zhou, Yuhuai Wu, Qiyang Li, Roger Baker Grosse

NeurIPS 2023 Accelerating Exploration with Unlabeled Prior Data Qiyang Li, Jason Zhang, Dibya Ghosh, Amy Zhang, Sergey Levine

ICLR 2023 Efficient Deep Reinforcement Learning Requires Regulating Overfitting Qiyang Li, Aviral Kumar, Ilya Kostrikov, Sergey Levine

ICML 2023 Understanding the Complexity Gains of Single-Task RL with a Curriculum Qiyang Li, Yuexiang Zhai, Yi Ma, Sergey Levine

UAI 2022 AdaCat: Adaptive Categorical Discretization for Autoregressive Models Qiyang Li, Ajay Jain, Pieter Abbeel

NeurIPSW 2022 Efficient Deep Reinforcement Learning Requires Regulating Statistical Overfitting Qiyang Li, Aviral Kumar, Ilya Kostrikov, Sergey Levine

NeurIPSW 2022 Efficient Deep Reinforcement Learning Requires Regulating Statistical Overfitting Qiyang Li, Aviral Kumar, Ilya Kostrikov, Sergey Levine

NeurIPS 2021 Offline Reinforcement Learning as One Big Sequence Modeling Problem Michael Janner, Qiyang Li, Sergey Levine

ICMLW 2021 Reinforcement Learning as One Big Sequence Modeling Problem Michael Janner, Qiyang Li, Sergey Levine

NeurIPS 2019 Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks Qiyang Li, Saminul Haque, Cem Anil, James Lucas, Roger B Grosse, Joern-Henrik Jacobsen

ICLR 2019 TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer Sicong Huang, Qiyang Li, Cem Anil, Xuchan Bao, Sageev Oore, Roger B. Grosse