Decomposition of games: some strategic considerations
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Abstract (arXiv)
Candogan et al. (2011) provide an orthogonal direct-sum decomposition of finite games into potential, harmonic and nonstrategic components. In this paper we study the issue of decomposing games that are strategically equivalent from a game-theoretical point of view, for instance games obtained via transformations such as duplications of strategies or positive affine mappings of of payoffs. We show the need to define classes of decompositions to achieve commutativity of game transformations and decompositions.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 18 Jan 2019.
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Citing papers per year: 2024: 3; 2025: 2.
5 papers.
- 2024A geometric decomposition of finite games: Convergence vs. recurrence under exponential weightscited by 4
- 2024No-regret learning in harmonic games: Extrapolation in the face of conflicting interestscited by 4
- 2025Scale-Invariant Regret Matching and Online Learning with Optimal Convergence: Bridging Theory and Practice in Zero-Sum Gamescited by 3
- 2025The impact of uncertainty on regularized learning in gamescited by 2
- 2024On the Decomposition of Differential Gamecited by 0
- 2025Scale-Invariant Regret Matching and Online Learning with Optimal Convergence: Bridging Theory and Practice in Zero-Sum Games6 Oct 2025
- 2025The impact of uncertainty on regularized learning in games16 Jun 2025
- 2024No-regret learning in harmonic games: Extrapolation in the face of conflicting interests28 Dec 2024
- 2024On the Decomposition of Differential Game6 Nov 2024
- 2024A geometric decomposition of finite games: Convergence vs. recurrence under exponential weights12 May 2024