Ren, Zhizhou

13 publications

NeurIPS 2024 Enhancing Protein Mutation Effect Prediction Through a Retrieval-Augmented Framework Ruihan Guo, Rui Wang, Ruidong Wu, Zhizhou Ren, Jiahan Li, Shitong Luo, Zuofan Wu, Qiang Liu, Jian Peng, Jianzhu Ma

ICML 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

NeurIPS 2022 Efficient Meta Reinforcement Learning for Preference-Based Fast Adaptation Zhizhou Ren, Anji Liu, Yitao Liang, Jian Peng, Jianzhu Ma

ICLR 2022 Learning Long-Term Reward Redistribution via Randomized Return Decomposition Zhizhou Ren, Ruihan Guo, Yuan Zhou, Jian Peng

ICML 2022 Off-Policy Reinforcement Learning with Delayed Rewards Beining Han, Zhizhou Ren, Zuofan Wu, Yuan Zhou, Jian Peng

ICML 2022 Proximal Exploration for Model-Guided Protein Sequence Design Zhizhou Ren, Jiahan Li, Fan Ding, Yuan Zhou, Jianzhu Ma, Jian Peng

ICML 2022 Self-Organized Polynomial-Time Coordination Graphs Qianlan Yang, Weijun Dong, Zhizhou Ren, Jianhao Wang, Tonghan Wang, Chongjie Zhang

ICML 2021 Generalizable Episodic Memory for Deep Reinforcement Learning Hao Hu, Jianing Ye, Guangxiang Zhu, Zhizhou Ren, Chongjie Zhang

NeurIPS 2021 On the Estimation Bias in Double Q-Learning Zhizhou Ren, Guangxiang Zhu, Hao Hu, Beining Han, Jianglun Chen, Chongjie Zhang

ICLR 2021 QPLEX: Duplex Dueling Multi-Agent Q-Learning Jianhao Wang, Zhizhou Ren, Terry Liu, Yang Yu, Chongjie Zhang

NeurIPS 2021 Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization Jianhao Wang, Zhizhou Ren, Beining Han, Jianing Ye, Chongjie Zhang

AAAI 2020 Object-Oriented Dynamics Learning Through Multi-Level Abstraction Guangxiang Zhu, Jianhao Wang, Zhizhou Ren, Zichuan Lin, Chongjie Zhang

NeurIPS 2019 Exploration via Hindsight Goal Generation Zhizhou Ren, Kefan Dong, Yuan Zhou, Qiang Liu, Jian Peng