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researcher

A. Mahmood

11 papers hereh-index 5101 citations10 works total

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

author position
  • first author1
  • middle author7
  • last author2

Across the 10 of 11 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.CV3
  • cs.RO2
  • cs.HC1
same name
  • A. Mahmood — 23 papers, h 16
  • A. Mahmood — 17 papers, h 20
  • A. Mahmood — 16 papers, h 20
  • A. Mahmood — 13 papers, h 35
  • A. Mahmood — 12 papers, h 32
  • A. Mahmood — 9 papers, h 6

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
20192025
most citedRevisiting Sparse Rewards for Goal-Reaching Reinforcement Learning

1 citations · 2 across the 10 of their papers we have counts for

collaborators
Showing 2024 · cs.LGShow all

2 papers · 2 filters

cs.LG2024

Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers

Gautham Vasan, Mohamed Elsayed, Alireza Azimi +5

Modern deep policy gradient methods achieve effective performance on simulated robotic tasks, but they all require large replay buffers or expensive batch updates, or both, making…

cs.LG2024

Streaming Deep Reinforcement Learning Finally Works

Mohamed Elsayed, Gautham Vasan, Elena Sorina Lupu +1

Learning from a stream of experience as it arrives, also known as streaming learning, is a core part of natural learning. However, reliable streaming learning has remained a persis…

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