Double Oracle Algorithm for Computing Equilibria in Continuous Games
FOS: Computer and information sciences
Computer Science - Computer Science and Game Theory
Optimization and Control (math.OC)
FOS: Mathematics
0202 electrical engineering, electronic engineering, information engineering
02 engineering and technology
Mathematics - Optimization and Control
Computer Science and Game Theory (cs.GT)
DOI:
10.1609/aaai.v35i6.16641
Publication Date:
2022-09-08T18:43:10Z
AUTHORS (4)
ABSTRACT
Many efficient algorithms have been designed to recover Nash equilibria of various classes finite games. Special continuous games with infinite strategy spaces, such as polynomial games, can be solved by semidefinite programming. In general, however, are not directly amenable computational procedures. this contribution, we develop an iterative generation technique for finding a equilibrium in whole class two-person zero-sum compact sets. The procedure, which is called the double oracle algorithm, has successfully applied large past. We prove convergence algorithm equilibrium. Moreover, guaranteed approximate finitely-many steps. Our numerical experiments show that it outperforms fictitious play on several examples appearing literature. particular, provide detailed analysis version Colonel Blotto game.
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