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Wenhao Tang

Tsinghua University

16 papers hereh-index 578 citations20 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author13

Across the 14 of 16 papers where every author was matched, so the position is known.

fields
  • cs.RO12
  • cs.AI2
  • cs.CR1
  • cs.LG1
affiliations
  • Tsinghua University
HomepageORCID 0009-0003-4126-2269
same name
  • Wenhao Tang — 7 papers, h 6
  • Wenhao Tang — 5 papers, h 3
  • Wenhao Tang — 1 paper, h 12
  • Wenhao Tang — 1 paper, h 3
  • Wenhao Tang — 1 paper, h 5
  • Wenhao Tang — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedOnline Planning for Multi-UAV Pursuit-Evasion in Unknown Environments Using Deep Reinforcement Learning

19 citations · 19 across the 15 of their papers we have counts for

collaborators
Showing 2024Show all

3 papers · 1 filter

cs.RO2024

What Matters in Learning A Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study

Jiayu Chen, Chao Yu, Yuqing Xie +9

Executing precise and agile flight maneuvers is critical for quadrotors in various applications. Traditional quadrotor control approaches are limited by their reliance on flat traj…

cs.RO2024

Multi-UAV Formation Control with Static and Dynamic Obstacle Avoidance via Reinforcement Learning

Yuqing Xie, Chao Yu, Hongzhi Zang +7

This paper tackles the challenging task of maintaining formation among multiple unmanned aerial vehicles (UAVs) while avoiding both static and dynamic obstacles during directed fli…

cs.RO2024★ 19 cited

Online Planning for Multi-UAV Pursuit-Evasion in Unknown Environments Using Deep Reinforcement Learning

Jiayu Chen, Chao Yu, Guosheng Li +6

Multi-UAV pursuit-evasion, where pursuers aim to capture evaders, poses a key challenge for UAV swarm intelligence. Multi-agent reinforcement learning (MARL) has demonstrated poten…

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