A differentiable homotopy method to compute perfect equilibria
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 77-109 |
Number of pages | 33 |
Journal / Publication | Mathematical Programming |
Volume | 185 |
Issue number | 1-2 |
Online published | 14 Aug 2019 |
Publication status | Published - Jan 2021 |
Link(s)
Abstract
The notion of perfect equilibrium was formulated by Selten (Int J Game Theory 4(1):25–55, 1975) as a strict refinement of Nash equilibrium. For an extensive-form game with perfect recall, every perfect equilibrium of its agent normal-form game yields a perfect equilibrium of the extensive-form game. This paper aims to develop a differentiable homotopy method for computing perfect equilibria of normal-form games. To accomplish this objective, we constitute an artificial game by introducing a continuously differentiable function of an extra variable. The artificial game defines a differentiable homotopy mapping and establishes the existence of a smooth path to a perfect equilibrium. For numerical comparison, we also describe a simplicial homotopy method. Numerical results show that the differentiable homotopy method is numerically stable and efficient and significantly outperforms the simplicial homotopy method especially when the problem is large.
Research Area(s)
- Differentiable homotopy method, Nash equilibrium, Noncooperative game, Perfect equilibrium, Simplicial homotopy method
Citation Format(s)
A differentiable homotopy method to compute perfect equilibria. / Chen, Yin; Dang, Chuangyin.
In: Mathematical Programming, Vol. 185, No. 1-2, 01.2021, p. 77-109.
In: Mathematical Programming, Vol. 185, No. 1-2, 01.2021, p. 77-109.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review