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Gaming Tech Brief By HackerNoon
HackerNoon
136 episodes
1 month ago
Learn the latest gaming updates in the tech world.
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Video Games
Technology,
Leisure
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All content for Gaming Tech Brief By HackerNoon is the property of HackerNoon and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Learn the latest gaming updates in the tech world.
Show more...
Video Games
Technology,
Leisure
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A Consensus-Based Algorithm for Non-Convex Multiplayer Games: Quantitative Laplace principle
Gaming Tech Brief By HackerNoon
1 minute
1 year ago
A Consensus-Based Algorithm for Non-Convex Multiplayer Games: Quantitative Laplace principle

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.

Gaming Tech Brief By HackerNoon
Learn the latest gaming updates in the tech world.