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researcher

Yuchen Xiao

15 papers hereh-index 10446 citations25 works total

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

author position
  • sole author1
  • first author5
  • middle author8
  • last author1

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.LG6
  • cs.RO4
  • cs.AI3
  • math.FA1
  • math.OC1
same name
  • Yuchen Xiao — 4 papers, h 5
  • Yuchen Xiao — 4 papers, h 2
  • Yuchen Xiao — 2 papers, h 2
  • Yuchen Xiao — 1 paper, h 4
  • Yuchen Xiao — 1 paper, h 2
  • Yuchen Xiao — 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
20172026
most citedContrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning

36 citations · 55 across the 14 of their papers we have counts for

collaborators
Showing cs.ROShow all

4 papers · 1 filter

cs.RO2026

Continual Quadruped Robots Coordination via Semantic Skill Discovery

Daoqing Wang, Yuchen Xiao, Weixuan Huang +5

Multi-quadruped coordination has attracted increasing attention due to its enhanced payload capacity, broader contact coverage, and improved adaptability to challenging tasks. Exis…

cs.RO2026

OmniXtreme: Breaking the Generality Barrier in High-Dynamic Humanoid Control

Yunshen Wang, Shaohang Zhu, Peiyuan Zhi +7

High-fidelity motion tracking serves as the ultimate litmus test for generalizable, human-level motor skills. However, current policies often hit a "generality barrier": as motion…

cs.RO2023

On-Robot Bayesian Reinforcement Learning for POMDPs

Hai Nguyen, Sammie Katt, Yuchen Xiao +1

Robot learning is often difficult due to the expense of gathering data. The need for large amounts of data can, and should, be tackled with effective algorithms and leveraging expe…

cs.RO2019★ 2 cited

Learning Multi-Robot Decentralized Macro-Action-Based Policies via a Centralized Q-Net

Yuchen Xiao, Joshua Hoffman, Tian Xia +1

In many real-world multi-robot tasks, high-quality solutions often require a team of robots to perform asynchronous actions under decentralized control. Decentralized multi-agent r…

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