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researcher

D. Prokhorov

20 papers hereh-index 366.5k citations180 works total

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

author position
  • middle author13
  • last author7

Across the 20 of 20 papers where every author was matched, so the position is known.

fields
  • eess.SY4
  • cs.AI3
  • cs.CV3
  • cs.RO3
  • math.OC3
  • cs.LG1
same name
  • D. Prokhorov — 71 papers, h 23
  • D. Prokhorov — 32 papers, h 16
  • D. Prokhorov — 14 papers, h 8
  • D. Prokhorov — 9 papers, h 9
  • D. Prokhorov — 6 papers, h 10
  • D. Prokhorov — 3 papers, h 2

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
20022023
most citedApproximation with Random Bases: Pro et Contra

138 citations · 318 across the 20 of their papers we have counts for

collaborators
Showing cs.AIShow all

3 papers · 1 filter

cs.AI2018★ 17 cited

Fast Construction of Correcting Ensembles for Legacy Artificial Intelligence Systems: Algorithms and a Case Study

Ivan Y. Tyukin, Alexander N. Gorban, Stephen Green +1

This paper presents a technology for simple and computationally efficient improvements of a generic Artificial Intelligence (AI) system, including Multilayer and Deep Learning neur…

cs.AI2017★ 57 cited

Freeway Merging in Congested Traffic based on Multipolicy Decision Making with Passive Actor Critic

Tomoki Nishi, Prashant Doshi, Danil Prokhorov

Freeway merging in congested traffic is a significant challenge toward fully automated driving. Merging vehicles need to decide not only how to merge into a spot, but also where to…

cs.AI2017★ 5 cited

Actor-Critic for Linearly-Solvable Continuous MDP with Partially Known Dynamics

Tomoki Nishi, Prashant Doshi, Michael R. James +1

In many robotic applications, some aspects of the system dynamics can be modeled accurately while others are difficult to obtain or model. We present a novel reinforcement learning…

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