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researcher

S. Raparthy

2 papers hereh-index 1216.9k citations48 works total

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

author position
  • first author1
  • middle author1

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

fields
  • cs.LG2

identity via Semantic Scholar / OpenAlex

most citedCurriculum in Gradient-Based Meta-Reinforcement Learning

8 citations · 8 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2020★ 8 cited

Curriculum in Gradient-Based Meta-Reinforcement Learning

Bhairav Mehta, Tristan Deleu, Sharath Chandra Raparthy +2

Gradient-based meta-learners such as Model-Agnostic Meta-Learning (MAML) have shown strong few-shot performance in supervised and reinforcement learning settings. However, specific…

cs.LG2020

Generating Automatic Curricula via Self-Supervised Active Domain Randomization

Sharath Chandra Raparthy, Bhairav Mehta, Florian Golemo +1

Goal-directed Reinforcement Learning (RL) traditionally considers an agent interacting with an environment, prescribing a real-valued reward to an agent proportional to the complet…

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