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Local (Coarse) Correlated Equilibria in Non-Concave Games


Core Concepts
Local notions of correlated equilibria in non-concave games are linked to projected gradient dynamics, leading to approximable equilibria.
Abstract
The content explores local correlated equilibria in non-concave games, focusing on approximations and performance guarantees. It delves into the concept of coarse equilibria and their relation to gradient dynamics. The analysis covers the tractable computability of equilibria, extending to stationary and local correlated equilibria. Key insights include the role of smooth boundaries and Lipschitz continuity in approximating equilibria.
Stats
As a result, such equilibria are approximable when all players employ online (projected) gradient ascent with equal step-sizes as learning algorithms. For (1), the approximation bound decreases in K, while the class of polyhedra considered in (2) contain the simplex and the hypercube as special cases.
Quotes
"Our analysis shows that such equilibria are intrinsically linked to the projected gradient dynamics of the game." "We identify the equivalent of coarse equilibria in this setting when no regret is incurred against any gradient field of a differentiable function."

Deeper Inquiries

How do non-concave games challenge traditional equilibrium concepts

Non-concave games challenge traditional equilibrium concepts by introducing complexity and computational difficulties. In concave games, Nash equilibria are guaranteed to exist, making them a reliable solution concept. However, in non-concave games, the existence of Nash equilibria is not guaranteed, leading to challenges in finding stable outcomes. This lack of certainty in equilibrium existence complicates the analysis and solution of non-concave games, requiring the exploration of alternative equilibrium concepts that are tractable and computationally feasible.

What implications do smooth boundaries and Lipschitz continuity have on approximating equilibria

Smooth boundaries and Lipschitz continuity play a crucial role in approximating equilibria in game theory. In the context provided, the smooth boundaries of the action sets ensure that the game is well-defined and allows for the application of mathematical tools to analyze equilibrium concepts. Lipschitz continuity of utility functions ensures that the gradients are bounded, enabling the formulation of approximation bounds and the development of algorithms for finding equilibria. These properties facilitate the tractability of equilibrium approximation and provide a basis for establishing convergence results in game theory.

How can the concept of coarse equilibria be extended to other game settings beyond non-concave games

The concept of coarse equilibria can be extended to other game settings beyond non-concave games by adapting the equilibrium definitions and approximation techniques to suit different game structures. By generalizing the notion of coarse equilibria to accommodate various types of games, such as normal-form games or games with specific constraints, it is possible to apply similar approximation frameworks and analysis methods. This extension allows for the exploration of equilibrium concepts in diverse game scenarios and provides a unified approach to studying equilibria in different game settings.
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