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researcher

Fahim Shariar

1 paper hereh-index 227 citations6 works total

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

author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.LG1

identity via Semantic Scholar / OpenAlex

collaborators

1 paper

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…

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