Zongqing Lu

About Zongqing Lu

Zongqing Lu, With an exceptional h-index of 28 and a recent h-index of 24 (since 2020), a distinguished researcher at Peking University, specializes in the field of Reinforcement learning.

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

Understanding What Affects Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence

Towards general computer control: A multimodal agent for red dead redemption ii as a case study

Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing

LLaMA-Rider: Spurring Large Language Models to Explore the Open World

Towards Understanding How to Reduce Generalization Gap in Visual Reinforcement Learning

Learning Multi-Object Positional Relationships via Emergent Communication

RL-GPT: Integrating Reinforcement Learning and Code-as-policy

Off-policy RL algorithms can be sample-efficient for continuous control via sample multiple reuse

Zongqing Lu Information

University

Position

Assistant Professor

Citations(all)

2715

Citations(since 2020)

2205

Cited By

1083

hIndex(all)

28

hIndex(since 2020)

24

i10Index(all)

44

i10Index(since 2020)

39

Email

University Profile Page

Google Scholar

Zongqing Lu Skills & Research Interests

Reinforcement learning

Top articles of Zongqing Lu

Title

Journal

Author(s)

Publication Date

Understanding What Affects Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence

arXiv preprint arXiv:2402.02701

Jiafei Lyu

Le Wan

Xiu Li

Zongqing Lu

2024/2/5

Towards general computer control: A multimodal agent for red dead redemption ii as a case study

arXiv preprint arXiv:2403.03186

Weihao Tan

Ziluo Ding

Wentao Zhang

Boyu Li

Bohan Zhou

...

2024/3/5

Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing

arXiv preprint arXiv:2402.02097

Haobin Jiang

Ziluo Ding

Zongqing Lu

2024/2/3

LLaMA-Rider: Spurring Large Language Models to Explore the Open World

arXiv preprint arXiv:2310.08922

Yicheng Feng

Yuxuan Wang

Jiazheng Liu

Sipeng Zheng

Zongqing Lu

2023/10/13

Towards Understanding How to Reduce Generalization Gap in Visual Reinforcement Learning

Jiafei Lyu

Le Wan

Xiu Li

Zongqing Lu

2024/5/6

Learning Multi-Object Positional Relationships via Emergent Communication

Yicheng Feng

Boshi An

Zongqing Lu

2024/2

RL-GPT: Integrating Reinforcement Learning and Code-as-policy

arXiv preprint arXiv:2402.19299

Shaoteng Liu

Haoqi Yuan

Minda Hu

Yanwei Li

Yukang Chen

...

2024/2/29

Off-policy RL algorithms can be sample-efficient for continuous control via sample multiple reuse

Information Sciences

Jiafei Lyu

Le Wan

Xiu Li

Zongqing Lu

2024/5/1

Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A Survey

arXiv preprint arXiv:2401.04934

Jiechuan Jiang

Kefan Su

Zongqing Lu

2024/1/10

SEABO: A Simple Search-Based Method for Offline Imitation Learning

Jiafei Lyu

Xiaoteng Ma

Le Wan

Runze Liu

Xiu Li

...

2024/2/6

MTLight: Efficient multi-task reinforcement learning for traffic signal control

arXiv preprint arXiv:2404.00886

Liwen Zhu

Peixi Peng

Zongqing Lu

Yonghong Tian

2024/4/1

Multi-Agent Alternate Q-Learning

Kefan Su

Siyuan Zhou

Jiechuan Jiang

Chuang Gan

Xiangjun Wang

...

2024/5/6

UniCode: Learning a Unified Codebook for Multimodal Large Language Models

arXiv preprint arXiv:2403.09072

Sipeng Zheng

Bohan Zhou

Yicheng Feng

Ye Wang

Zongqing Lu

2024/3/14

Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds

Sipeng Zheng

Yicheng Feng

Zongqing Lu

2023/10/13

Adaptive Learning Rates for Multi-Agent Reinforcement Learning

Jiechuan Jiang

Zongqing Lu

2020/10/2

State Advantage Weighting for Offline RL

arXiv preprint arXiv:2210.04251

Jiafei Lyu

Aicheng Gong

Le Wan

Zongqing Lu

Xiu Li

2022/10/9

Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning

Ziluo Ding

Wanpeng Zhang

Junpeng Yue

Xiangjun Wang

Tiejun Huang

...

2023/7/3

Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation

arXiv preprint arXiv:2306.02747

Wanpeng Zhang

Yilin Li

Boyu Yang

Zongqing Lu

2023/6/5

Bi-DexHands: Towards Human-Level Bimanual Dexterous Manipulation

IEEE Transactions on Pattern Analysis and Machine Intelligence

Yuanpei Chen

Yiran Geng

Fangwei Zhong

Jiaming Ji

Jiechuang Jiang

...

2023/12/5

A survey on transformers in reinforcement learning

arXiv preprint arXiv:2301.03044

Wenzhe Li

Hao Luo

Zichuan Lin

Chongjie Zhang

Zongqing Lu

...

2023/1/8

See List of Professors in Zongqing Lu University(Peking University)

Co-Authors

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