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researcher

Fangwen Ye

2 papers hereh-index 551 citations10 works total

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.RO2

identity via Semantic Scholar / OpenAlex

most citedDynamic Deep Factor Graph for Multi-Agent Reinforcement Learning

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.RO2026

Physics-Informed Modeling and Control of Emergent Behaviors in Robot Swarms

Zixuan Jin, Wenzhuo Zhang, Shuxian Quan +4

Robot swarms can exhibit coherent collective behaviors through local perception, limited communication and decentralized decision-making, yet modeling and controlling such emergenc…

cs.RO2024★ 1 cited

Dynamic Deep Factor Graph for Multi-Agent Reinforcement Learning

Yuchen Shi, Shihong Duan, Cheng Xu +3

This work introduces a novel value decomposition algorithm, termed \textit{Dynamic Deep Factor Graphs} (DDFG). Unlike traditional coordination graphs, DDFG leverages factor graphs…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.