Reviews: Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games
–Neural Information Processing Systems
I appreciate the author's taking time to respond to comments from my review. In particular I look forward to see similar techniques applied to multi-agent hidden network zero-sum games as per their response. The action space is given by finite vector spaces, and these map to a lower dimensional space via a smooth function. Payoffs are then zero-sum in this space. Although it is already known that gradient descent is difficult for games (even zero-sum games as those used), the authors show that even in this general dynamic the situation is just as dire.
Neural Information Processing Systems
Jan-24-2025, 12:44:32 GMT