Gaming Tech Brief By HackerNoon
Gaming Tech Brief By HackerNoon · Jul 29, 2024 · 1:10
Listen in the Podli app 🎧
Follow your favourite podcasts, listen offline and in the car with CarPlay and Android Auto, and always pick up where you left off. Free to try.
This story was originally published on HackerNoon at: https://hackernoon.com/a-consensus-based-algorithm-for-non-convex-multiplayer-games-quantitative-laplace-principle.
A novel algorithm using swarm intelligence to find global Nash equilibria in nonconvex multiplayer games, with convergence guarantees and numerical experiments.
Check more stories related to gaming at: https://hackernoon.com/c/gaming.
You can also check exclusive content about #games, #consensus-based-optimization, #zeroth-order-algorithm, #nonconvex-multiplayer-games, #global-nash-equilibria, #swarm-intelligence, #metaheuristics, #numerical-experiments, and more.
This story was written by: @oligopoly. Learn more about this writer by checking @oligopoly's about page,
and for more stories, please visit hackernoon.com.
This paper is available on arxiv.org/abs/2311.08270 under CC BY 4.0 DEED license. Authors: Enis Chenchene, Hui Huang, Jinniao Qiu, and Hui Chen. Table of Links: 1. Introduction, 2. Global convergence, 3. Numerical experiments, 4. Conclusion, Acknowledgments, and References.
Episodes: Gaming Tech Brief By HackerNoon