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Mingfei Sun

University of Manchester

9 papers hereh-index 151.9k citations30 works total

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

author position
  • first author4
  • middle author5

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.AI3
  • cs.HC2
affiliations
  • University of Manchester
Homepage
same name
  • Mingfei Sun — 12 papers, h 2
  • Mingfei Sun — 8 papers, h 1
  • Mingfei Sun — 5 papers
  • Mingfei Sun — 2 papers, h 2
  • Mingfei Sun — 2 papers

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
20192022
most citedIs Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

185 citations · 262 across the 8 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2022★ 2 cited

UniMASK: Unified Inference in Sequential Decision Problems

Micah Carroll, Orr Paradise, Jessy Lin +8

Randomly masking and predicting word tokens has been a successful approach in pre-training language models for a variety of downstream tasks. In this work, we observe that the same…

cs.LG2022★ 6 cited

Generalization in Cooperative Multi-Agent Systems

Anuj Mahajan, Mikayel Samvelyan, Tarun Gupta +4

Collective intelligence is a fundamental trait shared by several species of living organisms. It has allowed them to thrive in the diverse environmental conditions that exist on ou…

cs.LG2022★ 7 cited

You May Not Need Ratio Clipping in PPO

Mingfei Sun, Vitaly Kurin, Guoqing Liu +4

Proximal Policy Optimization (PPO) methods learn a policy by iteratively performing multiple mini-batch optimization epochs of a surrogate objective with one set of sampled data. R…

cs.LG2019★ 6 cited

Adversarial Imitation Learning from Incomplete Demonstrations

Mingfei Sun, Xiaojuan Ma

Imitation learning targets deriving a mapping from states to actions, a.k.a. policy, from expert demonstrations. Existing methods for imitation learning typically require any actio…

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