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researcher

Anil A. Bharath

1 paper here

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

author position
  • last author1

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

fields
  • cs.LG1
ORCID 0000-0001-8808-2714
same name
  • Anil A. Bharath — 10 papers, h 3
  • Anil A. Bharath — 2 papers, h 2
  • Anil A. Bharath — 2 papers, h 1

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

most citedAnalysing Deep Reinforcement Learning Agents Trained with Domain Randomisation

22 citations · 22 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2019★ 22 cited

Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation

Tianhong Dai, Kai Arulkumaran, Tamara Gerbert +3

Deep reinforcement learning has the potential to train robots to perform complex tasks in the real world without requiring accurate models of the robot or its environment. A practi…

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