Oct 17, 2022 · We introduce the Neural Equilibrium Solver which utilizes a special equivariant neural network architecture to approximately solve the space of all games of ...
Solution concepts such as Nash Equilibria, Correlated Equilibria, and Coarse. Correlated Equilibria are useful components for many multiagent machine ...
Oct 31, 2022 · We introduce the Neural Equilibrium Solver which utilizes a special equivariant neural network architecture to approximately solve the space of all games of ...
Apr 3, 2024 · Solution concepts such as Nash Equilibria, Correlated Equilibria, and Coarse Correlated Equilibria are useful components for many multiagent ...
Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers · Luke Marris, I. Gemp, +3 authors. K. Tuyls · Published in Neural ...
The niche: fast, deterministic, approximate solvers. The Goal: Train a feedforward neural network to map payoffs directly to equilibrium solutions. G p.
Oct 17, 2022 · Solution concepts such as Nash Equilibria, Correlated Equilibria, and Coarse Correlated Equilibria are useful components for many multiagent ...
Apr 15, 2023 · Solution concepts such as Nash Equilibria, Correlated Equilibria, and Coarse. Correlated Equilibria are useful components for many ...
Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural ... Equilibrium Solution Concepts Correlated Equilibria (CEs) [3] can be defined ...
Solution concepts such as Nash Equilibria, Correlated Equilibria, and CoarseCorrelated Equilibria are useful components for many multiagent machinelearning ...