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Evaluating approval-based multiwinner voting in terms of robustness to
  noise
v1v2 (latest)

Evaluating approval-based multiwinner voting in terms of robustness to noise

5 February 2020
I. Caragiannis
C. Kaklamanis
Nikos Karanikolas
George A. Krimpas
    AAML
ArXiv (abs)PDFHTML

Papers citing "Evaluating approval-based multiwinner voting in terms of robustness to noise"

1 / 1 papers shown
Title
Collaborative Training of Heterogeneous Reinforcement Learning Agents in
  Environments with Sparse Rewards: What and When to Share?
Collaborative Training of Heterogeneous Reinforcement Learning Agents in Environments with Sparse Rewards: What and When to Share?
Alain Andres
Esther Villar-Rodriguez
Javier Del Ser
73
9
0
24 Feb 2022
1