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S. Asghari

2 papers hereh-index 11338 citations31 works total

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

author position
  • first author1
  • last author1

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

fields
  • cs.IT1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedRegret Bounds for Decentralized Learning in Cooperative Multi-Agent Dynamical Systems

4 citations · 4 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2020★ 4 cited

Regret Bounds for Decentralized Learning in Cooperative Multi-Agent Dynamical Systems

Seyed Mohammad Asghari, Yi Ouyang, Ashutosh Nayyar

Regret analysis is challenging in Multi-Agent Reinforcement Learning (MARL) primarily due to the dynamical environments and the decentralized information among agents. We attempt t…

cs.IT2019

Learning to Code: Coded Caching via Deep Reinforcement Learning

Navid Naderializadeh, Seyed Mohammad Asghari

We consider a system comprising a file library and a network with a server and multiple users equipped with cache memories. The system operates in two phases: a prefetching phase,…

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