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Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations
  Among Team Members

Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members

18 August 2022
Daphne Cornelisse
Thomas Rood
Mateusz Malinowski
Yoram Bachrach
Tal Kachman
ArXivPDFHTML

Papers citing "Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members"

8 / 8 papers shown
Title
InfluenceNet: AI Models for Banzhaf and Shapley Value Prediction
Benjamin Kempinski
Tal Kachman
44
0
0
11 Mar 2025
Crowd IQ -- Aggregating Opinions to Boost Performance
Crowd IQ -- Aggregating Opinions to Boost Performance
Michal Kosinski
Yoram Bachrach
T. Graepel
Giergji Kasneci
Jurgen Van Gael
62
71
0
13 Oct 2024
Data-Driven Goal Recognition Design for General Behavioral Agents
Data-Driven Goal Recognition Design for General Behavioral Agents
Robert Kasumba
Guanghui Yu
Chien-Ju Ho
Sarah Keren
William Yeoh
13
1
0
03 Apr 2024
Game-theoretic Counterfactual Explanation for Graph Neural Networks
Game-theoretic Counterfactual Explanation for Graph Neural Networks
Chirag Chhablani
Sarthak Jain
Akshay Channesh
Ian A. Kash
Sourav Medya
28
6
0
08 Feb 2024
$\varepsilon$-fractional Core Stability in Hedonic Games
ε\varepsilonε-fractional Core Stability in Hedonic Games
Simone Fioravanti
Michele Flammini
Bojana Kodric
Giovanna Varricchio
13
3
0
18 Nov 2023
Using Cooperative Game Theory to Prune Neural Networks
Using Cooperative Game Theory to Prune Neural Networks
M. Diaz-Ortiz
Benjamin Kempinski
Daphne Cornelisse
Yoram Bachrach
Tal Kachman
33
2
0
17 Nov 2023
Explainability Techniques for Chemical Language Models
Explainability Techniques for Chemical Language Models
Stefan Hödl
William Robinson
Yoram Bachrach
Wilhelm Huck
Tal Kachman
19
4
0
25 May 2023
Collaborative Machine Learning with Incentive-Aware Model Rewards
Collaborative Machine Learning with Incentive-Aware Model Rewards
Rachael Hwee Ling Sim
Yehong Zhang
M. Chan
Hsiang Low
FedML
109
123
0
24 Oct 2020
1