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researcher

S. Nageshrao

14 papers hereh-index 161.1k citations42 works total

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

author position
  • first author2
  • middle author11

Across the 13 of 14 papers where every author was matched, so the position is known.

fields
  • eess.SY8
  • cs.RO4
  • cs.AI1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20122025
most citedReinforcement learning for port-Hamiltonian systems

63 citations · 96 across the 13 of their papers we have counts for

collaborators
Showing 2019Show all

2 papers · 1 filter

eess.SY2019

Deep Reinforcement Learning with Enhanced Safety for Autonomous Highway Driving

Ali Baheri, Subramanya Nageshrao, H. Eric Tseng +3

In this paper, we present a safe deep reinforcement learning system for automated driving. The proposed framework leverages merits of both rule-based and learning-based approaches…

cs.RO2019

Autonomous Highway Driving using Deep Reinforcement Learning

Subramanya Nageshrao, Eric Tseng, Dimitar Filev

The operational space of an autonomous vehicle (AV) can be diverse and vary significantly. This may lead to a scenario that was not postulated in the design phase. Due to this, for…

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