Zhizhou Ren

About Zhizhou Ren

Zhizhou Ren, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at University of Illinois at Urbana-Champaign, specializes in the field of Reinforcement Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation

Proximal Exploration for Model-guided Protein Sequence Design

Self-Organized Polynomial-Time Coordination Graphs

Off-Policy Reinforcement Learning with Delayed Rewards

Learning Long-Term Reward Redistribution via Randomized Return Decomposition

Generalizable Episodic Memory for Deep Reinforcement Learning

QPLEX: Duplex Dueling Multi-Agent Q-Learning

On the Estimation Bias in Double Q-Learning

Zhizhou Ren Information

University

Position

___

Citations(all)

576

Citations(since 2020)

576

Cited By

24

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Zhizhou Ren Skills & Research Interests

Reinforcement Learning

Top articles of Zhizhou Ren

Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation

2022/11/29

Proximal Exploration for Model-guided Protein Sequence Design

2022/6/28

Self-Organized Polynomial-Time Coordination Graphs

2022/7/17

Off-Policy Reinforcement Learning with Delayed Rewards

2022/6/28

Learning Long-Term Reward Redistribution via Randomized Return Decomposition

arXiv preprint arXiv:2111.13485

2021/11/26

Generalizable Episodic Memory for Deep Reinforcement Learning

2021/7/18

QPLEX: Duplex Dueling Multi-Agent Q-Learning

2021/5/3

On the Estimation Bias in Double Q-Learning

2021/12/6

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

2021/12/6

Object-Oriented Dynamics Learning through Multi-Level Abstraction

2020/2/7

See List of Professors in Zhizhou Ren University(University of Illinois at Urbana-Champaign)

Co-Authors

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