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Center for Strategic Research

Russia

6 papers here7 citations across 6
fields
  • cs.GT4
  • cs.AI1
  • cs.LG1
ROR 00xzb4g06OpenAlex

affiliations via OpenAlex

output
20222026
most citedFinding mixed-strategy equilibria of continuous-action games without gradients using randomized policy networks

3 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

  • T. Sandholm3 · h 81
  • Carlos Martin2 · h 3
  • Alessio Gravina1 · h 10
  • Brian Hu1 · h 2
  • C. Alippi1 · h 56
  • Christian Kroer1 · h 29
  • C. Ling1 · h 3
  • Daniele Zambon1 · h 12
  • Davide Bacciu1 · h 7
  • Federico Cacciamani1 · h 9
  • Gabriele Farina1 · h 26
  • Garud Iyengar1 · h 5
collaborating institutions
  • Carnegie Mellon UniversityUS6 papers
  • Machine ScienceUS4 papers
  • Robotic Research (United States)US4 papers
  • Optim Design (United States)US3 papers
  • Columbia UniversityUS1 paper
  • GREYCFR1 paper
  • Harvard University PressUS1 paper
  • IIT@MITUS1 paper
  • Office National des ForêtsFR1 paper
  • Politecnico di MilanoIT1 paper
  • Stanford UniversityUS1 paper
  • Università della Svizzera italianaCH1 paper
Showing 2022Show all

1 paper · 1 filter

cs.GT2022★ 3 cited

Finding mixed-strategy equilibria of continuous-action games without gradients using randomized policy networks

Carlos Martin, Tuomas Sandholm

We study the problem of computing an approximate Nash equilibrium of continuous-action game without access to gradients. Such game access is common in reinforcement learning settin…

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