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Lacra Pavel

University of Toronto

27 papers hereh-index 293.9k citations172 works total

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

author position
  • sole author1
  • middle author1
  • last author25

Across the 27 of 27 papers where every author was matched, so the position is known.

fields
  • math.OC17
  • cs.GT4
  • eess.SY4
  • cs.LG2
affiliations
  • University of Toronto
same name
  • Lacra Pavel — 6 papers, h 2
  • Lacra Pavel — 1 paper

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
20102022
most citedA Passivity-Based Approach to Nash Equilibrium Seeking over Networks

337 citations · 1.7k across the 25 of their papers we have counts for

collaborators
Showing eess.SYShow all

4 papers · 1 filter

eess.SY2021★ 3 cited

An inexact-penalty method for GNE seeking in games with dynamic agents

Andrew R. Romano, Lacra Pavel

We consider a network of autonomous agents whose outputs are actions in a game with coupled constraints. In such network scenarios, agents seeking to minimize coupled cost function…

eess.SY2016★ 10 cited

Nash Equilibrium Seeking with Non-doubly Stochastic Communication Weight Matrix

Farzad Salehisadaghiani, Lacra Pavel

A distributed Nash equilibrium seeking algorithm is presented for networked games. We assume an incomplete information available to each player about the other players' actions. Th…

eess.SY2016

Distributed Nash Equilibrium Seeking via the Alternating Direction Method of Multipliers

Farzad Salehisadaghiani, Lacra Pavel

In this paper, the problem of finding a Nash equilibrium of a multi-player game is considered. The players are only aware of their own cost functions as well as the action space of…

eess.SY2016

Distributed Nash Equilibrium Seeking By Gossip in Games on Graphs

Farzad Salehisadaghiani, Lacra Pavel

We consider a gossip approach for finding a Nash equilibrium in a distributed multi-player network game. We extend previous results on Nash equilibrium seeking to the case when the…

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