Zhizhou Ren

According to our database, Zhizhou Ren authored at least 17 papers between 2019 and 2024.

Collaborative distances:

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

2024

Bridging distribution gaps: invariant pattern discovery for dynamic graph learning.

Yucheng Jin, Maoyi Wang, Yun Xiong, Zhizhou Ren, Cuiying Huo, Feng Zhu, Jiawei Zhang, Guangzhong Wang, Haoran Chen

World Wide Web (WWW), July, 2024

DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data.

Huajian Xin, Daya Guo, Zhihong Shao, Zhizhou Ren, Qihao Zhu, Bo Liu, Chong Ruan, Wenda Li, Xiaodan Liang

CoRR, 2024

Full-Atom Peptide Design based on Multi-modal Flow Matching.

Jiahan Li, Chaoran Cheng, Zuofan Wu, Ruihan Guo, Shitong Luo, Zhizhou Ren, Jian Peng, Jianzhu Ma

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

2023

Mid-Level Data Fusion Combined with the Fingerprint Region for Classification DON Levels Defect of Fusarium Head Blight Wheat.

Kun Liang, Jinpeng Song, Rui Yuan, Zhizhou Ren

Sensors, July, 2023

2022

Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation.

Zhizhou Ren, Anji Liu, Yitao Liang, Jian Peng, Jianzhu Ma

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

Self-Organized Polynomial-Time Coordination Graphs.

Qianlan Yang, Weijun Dong, Zhizhou Ren, Jianhao Wang, Tonghan Wang, Chongjie Zhang

Proceedings of the International Conference on Machine Learning, 2022

Proximal Exploration for Model-guided Protein Sequence Design.

Zhizhou Ren, Jiahan Li, Fan Ding, Yuan Zhou, Jianzhu Ma, Jian Peng

Proceedings of the International Conference on Machine Learning, 2022

Off-Policy Reinforcement Learning with Delayed Rewards.

Beining Han, Zhizhou Ren, Zuofan Wu, Yuan Zhou, Jian Peng

Proceedings of the International Conference on Machine Learning, 2022

Learning Long-Term Reward Redistribution via Randomized Return Decomposition.

Zhizhou Ren, Ruihan Guo, Yuan Zhou, Jian Peng

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization.

Jianhao Wang, Zhizhou Ren, Beining Han, Jianing Ye, Chongjie Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On the Estimation Bias in Double Q-Learning.

Zhizhou Ren, Guangxiang Zhu, Hao Hu, Beining Han, Jianglun Chen, Chongjie Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Generalizable Episodic Memory for Deep Reinforcement Learning.

Hao Hu, Jianing Ye, Guangxiang Zhu, Zhizhou Ren, Chongjie Zhang

Proceedings of the 38th International Conference on Machine Learning, 2021

QPLEX: Duplex Dueling Multi-Agent Q-Learning.

Jianhao Wang, Zhizhou Ren, Terry Liu, Yang Yu, Chongjie Zhang

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Towards Understanding Linear Value Decomposition in Cooperative Multi-Agent Q-Learning.

Jianhao Wang, Zhizhou Ren, Beining Han, Chongjie Zhang

CoRR, 2020

Object-Oriented Dynamics Learning through Multi-Level Abstraction.

Guangxiang Zhu, Jianhao Wang, Zhizhou Ren, Zichuan Lin, Chongjie Zhang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Object-Oriented Dynamics Learning through Multi-Level Abstraction.

Guangxiang Zhu, Jianhao Wang, Zhizhou Ren, Chongjie Zhang

CoRR, 2019

Exploration via Hindsight Goal Generation.

Zhizhou Ren, Kefan Dong, Yuan Zhou, Qiang Liu, Jian Peng

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019