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Ayush Agrawal

13 papers hereh-index 14936 citations22 works total

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

author position
  • first author3
  • middle author10

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.RO8
  • cs.CL1
  • cs.LG1
  • eess.SY1
  • math.OC1
  • quant-ph1
same name
  • Ayush Agrawal — 5 papers, h 3
  • Ayush Agrawal — 3 papers, h 2
  • Ayush Agrawal — 2 papers, h 4
  • Ayush Agrawal — 2 papers, h 1
  • Ayush Agrawal — 1 paper, h 1
  • Ayush Agrawal — 1 paper, 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

activity
20182026
most citedLyapunov Design for Robust and Efficient Robotic Reinforcement Learning

7 citations · 19 across the 13 of their papers we have counts for

collaborators
Showing 2022Show all

3 papers · 1 filter

cs.CL2022★ 2 cited

Towards a Mathematics Formalisation Assistant using Large Language Models

Ayush Agrawal, Siddhartha Gadgil, Navin Goyal +2

Mathematics formalisation is the task of writing mathematics (i.e., definitions, theorem statements, proofs) in natural language, as found in books and papers, into a formal langua…

cs.RO2022★ 7 cited

Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning

Tyler Westenbroek, Fernando Castaneda, Ayush Agrawal +2

Recent advances in the reinforcement learning (RL) literature have enabled roboticists to automatically train complex policies in simulated environments. However, due to the poor s…

cs.RO2022★ 1 cited

Computation of Regions of Attraction for Hybrid Limit Cycles Using Reachability: An Application to Walking Robots

Jason J. Choi, Ayush Agrawal, Koushil Sreenath +2

Contact-rich robotic systems, such as legged robots and manipulators, are often represented as hybrid systems. However, the stability analysis and region-of-attraction computation…

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