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researcher

G. Russo

95 papers hereh-index 5310.5k citations336 works total

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

author position
  • sole author4
  • first author11
  • middle author32
  • last author47

Across the 94 of 95 papers where every author was matched, so the position is known.

fields
  • math.NA40
  • math.OC15
  • eess.SY11
  • physics.soc-ph7
  • math.AP5
  • math.DG5
same name
  • G. Russo — 255 papers
  • G. Russo — 209 papers, h 25
  • G. Russo — 30 papers, h 21
  • G. Russo — 24 papers
  • G. Russo — 14 papers, h 24
  • G. Russo — 12 papers, h 20

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
19992026
most citedGraph Metrics for Temporal Networks

277 citations · 1.6k across the 89 of their papers we have counts for

collaborators
Showing 2020 · math.OCShow all

4 papers · 2 filters

math.OC2020★ 4 cited

Tutoring Reinforcement Learning via Feedback Control

Francesco De Lellis, Giovanni Russo, Mario di Bernardo

We introduce a control-tutored reinforcement learning (CTRL) algorithm. The idea is to enhance tabular learning algorithms by means of a control strategy with limited knowledge of…

math.OC2020★ 13 cited

On the crowdsourcing of behaviors for autonomous agents

Giovanni Russo

This paper is concerned with the problem of designing, from data, agents that are able to craft their behavior from a number of contributors in order to fulfill some agent-specific…

math.OC2020★ 17 cited

On a probabilistic approach to synthesize control policies from example datasets

Davide Gagliardi, Giovanni Russo

This paper is concerned with the design of control policies from example datasets. The case considered is when just a black box description of the system to be controlled is availa…

math.OC2020

On the synthesis of control policies from noisy example datasets: a probabilistic approach

Davide Gagliardi, Giovanni Russo

In this note we consider the problem of synthesizing optimal control policies for a system from noisy datasets. We present a novel algorithm that takes as input the available datas…

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