Zhiqiang Pu

Chinese Academy of Sciences, Shandong Institute of Automation, University of Chinese Academy of Sciences, Beijing Academy of Artificial Intelligence

Papers

8

Total Citations

114

H-Index

7

About

No biography available yet.

Research Focus

Artificial intelligence8 · 114 citations
Computer science8 · 114 citations
Reinforcement learning7 · 110 citations
Robot7 · 85 citations
Distributed computing5 · 72 citations
Theoretical computer science4 · 50 citations
Graph4 · 50 citations
Mathematics3 · 49 citations
Engineering3 · 44 citations
Perspective (graphical)2 · 38 citations
Machine learning2 · 36 citations
Control (management)2 · 33 citations

Key Achievements

7
H-Index
8
Papers
114
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
A Deep Reinforcement Learning Approach Combined With Model-Based Paradigms for Multiagent Formation Control With Collision Avoidance
29 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Chinese Academy of Sciences, Shandong Institute of Automation, University of Chinese Academy of Sciences, Beijing Academy of Artificial Intelligence

Top Papers

  1. 1
    A Deep Reinforcement Learning Approach Combined With Model-Based Paradigms for Multiagent Formation Control With Collision Avoidance
    29 citations · 2023
  2. 2
    Deep-Reinforcement-Learning-Based Multitarget Coverage With Connectivity Guaranteed
    20 citations · 2022
  3. 3
    Multi-Target Encirclement with Collision Avoidance via Deep Reinforcement Learning using Relational Graphs
    16 citations · 2022
  4. 4
    Multi-Robot Cooperative Target Encirclement through Learning Distributed Transferable Policy
    13 citations · 2020
  5. 5
    Robot Navigation among External Autonomous Agents through Deep Reinforcement Learning using Graph Attention Network
    12 citations · 2020
  6. 6
    Multi-target Coverage with Connectivity Maintenance using Knowledge-incorporated Policy Framework
    11 citations · 2021
  7. 7
    Robot Subgoal-guided Navigation in Dynamic Crowded Environments with Hierarchical Deep Reinforcement Learning
    9 citations · 2023
  8. 8
    A Hybrid Formation Control Design for Multi-Robot System with Obstacle Avoidance
    4 citations · 2019

Key Collaborators

JYJianqiang Yi8 shared papersTZTianle Zhang7 shared papersZLZhen Liu5 shared papersTQTenghai Qiu4 shared papersSWShiguang Wu4 shared papersZSZezhi Sui1 shared papersYLYanyan Liang1 shared papersDZDu Zhang1 shared papersXAXiaolin Ai1 shared papers
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