Zhizhou Ren

Publication Activity (10 Years)

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

Top Topics

Theorem Proving

Reinforcement Learning

Episodic Memory

Top Venues

Publications

Huajian Xin, Daya Guo, Zhihong Shao, Zhizhou Ren, Qihao Zhu, Bo Liu, Chong Ruan, Wenda Li, Xiaodan Liang
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data. CoRR (2024)
Yucheng Jin, Maoyi Wang, Yun Xiong, Zhizhou Ren, Cuiying Huo, Feng Zhu, Jiawei Zhang, Guangzhong Wang, Haoran Chen
Bridging distribution gaps: invariant pattern discovery for dynamic graph learning. World Wide Web (WWW) 27 (4) (2024)
Jiahan Li, Chaoran Cheng, Zuofan Wu, Ruihan Guo, Shitong Luo, Zhizhou Ren, Jian Peng, Jianzhu Ma
Full-Atom Peptide Design based on Multi-modal Flow Matching. CoRR (2024)
Kun Liang, Jinpeng Song, Rui Yuan, Zhizhou Ren
Mid-Level Data Fusion Combined with the Fingerprint Region for Classification DON Levels Defect of Fusarium Head Blight Wheat. Sensors 23 (14) (2023)
Beining Han, Zhizhou Ren, Zuofan Wu, Yuan Zhou, Jian Peng
Off-Policy Reinforcement Learning with Delayed Rewards. ICML (2022)
Zhizhou Ren, Anji Liu, Yitao Liang, Jian Peng, Jianzhu Ma
Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation. NeurIPS (2022)
Zhizhou Ren, Jiahan Li, Fan Ding, Yuan Zhou, Jianzhu Ma, Jian Peng
Proximal Exploration for Model-guided Protein Sequence Design. ICML (2022)
Zhizhou Ren, Ruihan Guo, Yuan Zhou, Jian Peng
Learning Long-Term Reward Redistribution via Randomized Return Decomposition. ICLR (2022)
Qianlan Yang, Weijun Dong, Zhizhou Ren, Jianhao Wang, Tonghan Wang, Chongjie Zhang
Self-Organized Polynomial-Time Coordination Graphs. ICML (2022)
Zhizhou Ren, Anji Liu, Yitao Liang, Jian Peng, Jianzhu Ma
Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation. CoRR (2022)
Hao Hu, Jianing Ye, Guangxiang Zhu, Zhizhou Ren, Chongjie Zhang
Generalizable Episodic Memory for Deep Reinforcement Learning. ICML (2021)
Qianlan Yang, Weijun Dong, Zhizhou Ren, Jianhao Wang, Tonghan Wang, Chongjie Zhang
Self-Organized Polynomial-Time Coordination Graphs. CoRR (2021)
Hao Hu, Jianing Ye, Zhizhou Ren, Guangxiang Zhu, Chongjie Zhang
Generalizable Episodic Memory for Deep Reinforcement Learning. CoRR (2021)
Zhizhou Ren, Guangxiang Zhu, Hao Hu, Beining Han, Jianglun Chen, Chongjie Zhang
On the Estimation Bias in Double Q-Learning. NeurIPS (2021)
Jianhao Wang, Zhizhou Ren, Beining Han, Jianing Ye, Chongjie Zhang
Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization. NeurIPS (2021)
Zhizhou Ren, Guangxiang Zhu, Hao Hu, Beining Han, Jianglun Chen, Chongjie Zhang
On the Estimation Bias in Double Q-Learning. CoRR (2021)
Jianhao Wang, Zhizhou Ren, Terry Liu, Yang Yu, Chongjie Zhang
QPLEX: Duplex Dueling Multi-Agent Q-Learning. ICLR (2021)
Beining Han, Zhizhou Ren, Zuofan Wu, Yuan Zhou, Jian Peng
Off-Policy Reinforcement Learning with Delayed Rewards. CoRR (2021)
Zhizhou Ren, Ruihan Guo, Yuan Zhou, Jian Peng
Learning Long-Term Reward Redistribution via Randomized Return Decomposition. CoRR (2021)
Jianhao Wang, Zhizhou Ren, Beining Han, Chongjie Zhang
Towards Understanding Linear Value Decomposition in Cooperative Multi-Agent Q-Learning. CoRR (2020)
Guangxiang Zhu, Jianhao Wang, Zhizhou Ren, Zichuan Lin, Chongjie Zhang
Object-Oriented Dynamics Learning through Multi-Level Abstraction. AAAI (2020)
Jianhao Wang, Zhizhou Ren, Terry Liu, Yang Yu, Chongjie Zhang
QPLEX: Duplex Dueling Multi-Agent Q-Learning. CoRR (2020)
Guangxiang Zhu, Jianhao Wang, Zhizhou Ren, Chongjie Zhang
Object-Oriented Dynamics Learning through Multi-Level Abstraction. CoRR (2019)
Zhizhou Ren, Kefan Dong, Yuan Zhou, Qiang Liu, Jian Peng
Exploration via Hindsight Goal Generation. NeurIPS (2019)
Zhizhou Ren, Kefan Dong, Yuan Zhou, Qiang Liu, Jian Peng
Exploration via Hindsight Goal Generation. CoRR (2019)